{ "baseUrl": "https://videointelligence.googleapis.com/", "servicePath": "", "basePath": "", "description": "Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API.", "discoveryVersion": "v1", "title": "Cloud Video Intelligence API", "rootUrl": "https://videointelligence.googleapis.com/", "fullyEncodeReservedExpansion": true, "icons": { "x16": "http://www.google.com/images/icons/product/search-16.gif", "x32": "http://www.google.com/images/icons/product/search-32.gif" }, "parameters": { "key": { "location": "query", "type": "string", "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token." }, "alt": { "type": "string", "description": "Data format for response.", "enum": [ "json", "media", "proto" ], "default": "json", "enumDescriptions": [ "Responses with Content-Type of application/json", "Media download with context-dependent Content-Type", "Responses with Content-Type of application/x-protobuf" ], "location": "query" }, "quotaUser": { "location": "query", "type": "string", "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters." }, "prettyPrint": { "default": "true", "location": "query", "type": "boolean", "description": "Returns response with indentations and line breaks." }, "fields": { "type": "string", "description": "Selector specifying which fields to include in a partial response.", "location": "query" }, "oauth_token": { "type": "string", "description": "OAuth 2.0 token for the current user.", "location": "query" }, "$.xgafv": { "enum": [ "1", "2" ], "enumDescriptions": [ "v1 error format", "v2 error format" ], "location": "query", "type": "string", "description": "V1 error format." }, "access_token": { "location": "query", "type": "string", "description": "OAuth access token." }, "uploadType": { "type": "string", "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").", "location": "query" }, "upload_protocol": { "type": "string", "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").", "location": "query" }, "callback": { "location": "query", "type": "string", "description": "JSONP" } }, "schemas": { "GoogleCloudVideointelligenceV1_NormalizedBoundingBox": { "properties": { "left": { "description": "Left X coordinate.", "type": "number", "format": "float" }, "right": { "description": "Right X coordinate.", "type": "number", "format": "float" }, "bottom": { "description": "Bottom Y coordinate.", "type": "number", "format": "float" }, "top": { "description": "Top Y coordinate.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox", "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object" }, "GoogleCloudVideointelligenceV1_TimestampedObject": { "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this object.", "type": "string", "format": "google-duration" }, "attributes": { "description": "Optional. The attributes of the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_DetectedAttribute" } }, "normalizedBoundingBox": { "description": "Normalized Bounding box in a frame, where the object is located.", "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox" }, "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_DetectedLandmark" } } }, "id": "GoogleCloudVideointelligenceV1_TimestampedObject", "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation": { "properties": { "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" }, "version": { "description": "Feature version.", "type": "string" }, "segment": { "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "entity": { "description": "Entity to specify the object category that this track is labeled as.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity" }, "frames": { "description": "Information corresponding to all frames where this object track appears. Non-streaming batch mode: it may be one or multiple ObjectTrackingFrame messages in frames. Streaming mode: it can only be one ObjectTrackingFrame message in frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame" } }, "confidence": { "description": "Object category's labeling confidence of this track.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation", "description": "Annotations corresponding to one tracked object.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_FaceAnnotation": { "properties": { "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" }, "frames": { "description": "All video frames where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_FaceFrame" } }, "segments": { "description": "All video segments where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_FaceSegment" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_FaceAnnotation", "deprecated": true, "description": "Deprecated. No effect.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_LabelAnnotation": { "properties": { "version": { "description": "Feature version.", "type": "string" }, "frames": { "description": "All video frames where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelFrame" } }, "entity": { "description": "Detected entity.", "$ref": "GoogleCloudVideointelligenceV1beta2_Entity" }, "categoryEntities": { "description": "Common categories for the detected entity. For example, when the label is `Terrier`, the category is likely `dog`. And in some cases there might be more than one categories e.g., `Terrier` could also be a `pet`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_Entity" } }, "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelSegment" } } }, "id": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation", "description": "Label annotation.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_TextSegment": { "properties": { "segment": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment", "description": "Video segment where a text snippet was detected." }, "confidence": { "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number", "format": "float" }, "frames": { "description": "Information related to the frames where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_TextFrame" } } }, "id": "GoogleCloudVideointelligenceV1beta2_TextSegment", "description": "Video segment level annotation results for text detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark": { "id": "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark", "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "properties": { "confidence": { "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number", "format": "float" }, "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" }, "point": { "description": "The 2D point of the detected landmark using the normalized image coordinate system. The normalized coordinates have the range from 0 to 1.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex" } } }, "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity": { "properties": { "celebrity": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Celebrity", "description": "The recognized celebrity." }, "confidence": { "description": "Recognition confidence. Range [0, 1].", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity", "description": "The recognized celebrity with confidence score.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_DetectedLandmark": { "id": "GoogleCloudVideointelligenceV1beta2_DetectedLandmark", "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "properties": { "point": { "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex", "description": "The 2D point of the detected landmark using the normalized image coordinate system. The normalized coordinates have the range from 0 to 1." }, "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" }, "confidence": { "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1_PersonDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1_PersonDetectionAnnotation", "description": "Person detection annotation per video.", "type": "object", "properties": { "tracks": { "description": "The detected tracks of a person.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_Track" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative": { "properties": { "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" }, "words": { "description": "Output only. A list of word-specific information for each recognized word. Note: When `enable_speaker_diarization` is set to true, you will see all the words from the beginning of the audio.", "readOnly": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_WordInfo" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative", "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark": { "properties": { "confidence": { "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number", "format": "float" }, "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" }, "point": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex", "description": "The 2D point of the detected landmark using the normalized image coordinate system. The normalized coordinates have the range from 0 to 1." } }, "id": "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark", "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_PersonDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_PersonDetectionAnnotation", "description": "Person detection annotation per video.", "type": "object", "properties": { "version": { "description": "Feature version.", "type": "string" }, "tracks": { "description": "The detected tracks of a person.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_Track" } } } }, "GoogleCloudVideointelligenceV1_ExportToOutputUriStatus": { "properties": { "state": { "description": "Output only. State of the `output_uri` export.", "readOnly": true, "type": "string", "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ] }, "status": { "$ref": "GoogleRpc_Status", "description": "Output only. Only set if state is FAILED.", "readOnly": true } }, "id": "GoogleCloudVideointelligenceV1_ExportToOutputUriStatus", "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_WordInfo": { "id": "GoogleCloudVideointelligenceV1beta2_WordInfo", "description": "Word-specific information for recognized words. Word information is only included in the response when certain request parameters are set, such as `enable_word_time_offsets`.", "type": "object", "properties": { "word": { "description": "The word corresponding to this set of information.", "type": "string" }, "speakerTag": { "description": "Output only. A distinct integer value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word. Value ranges from 1 up to diarization_speaker_count, and is only set if speaker diarization is enabled.", "readOnly": true, "type": "integer", "format": "int32" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" }, "speakerLabel": { "description": "Output only. A distinct string value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word.", "readOnly": true, "type": "string" }, "endTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the end of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "startTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the start of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1_VideoAnnotationProgress": { "properties": { "progressPercent": { "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer", "format": "int32" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "feature": { "enumDescriptions": [ "Unspecified.", "Label detection. Detect objects, such as dog or flower.", "Shot change detection.", "Explicit content detection.", "Human face detection.", "Speech transcription.", "OCR text detection and tracking.", "Object detection and tracking.", "Logo detection, tracking, and recognition.", "Person detection." ], "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ] }, "startTime": { "description": "Time when the request was received.", "type": "string", "format": "google-datetime" }, "updateTime": { "description": "Time of the most recent update.", "type": "string", "format": "google-datetime" }, "segment": { "$ref": "GoogleCloudVideointelligenceV1_VideoSegment", "description": "Specifies which segment is being tracked if the request contains more than one segment." }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1_ExportToOutputUriStatus" } }, "id": "GoogleCloudVideointelligenceV1_VideoAnnotationProgress", "description": "Annotation progress for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly": { "id": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly", "description": "Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trigonometric calculations for location of the box.", "type": "object", "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex" } } } }, "GoogleCloudVideointelligenceV1_Entity": { "id": "GoogleCloudVideointelligenceV1_Entity", "description": "Detected entity from video analysis.", "type": "object", "properties": { "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" }, "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation": { "id": "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation", "description": "Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.", "type": "object", "properties": { "text": { "description": "The detected text.", "type": "string" }, "segments": { "description": "All video segments where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextSegment" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation": { "id": "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation", "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object", "properties": { "segments": { "description": "All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" } }, "entity": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity", "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as." }, "tracks": { "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Track" } } } }, "GoogleCloudVideointelligenceV1p1beta1_Entity": { "properties": { "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" }, "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" }, "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_Entity", "description": "Detected entity from video analysis.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_LabelFrame": { "id": "GoogleCloudVideointelligenceV1p3beta1_LabelFrame", "description": "Video frame level annotation results for label detection.", "type": "object", "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoProgress": { "properties": { "annotationProgress": { "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoProgress", "description": "Video annotation progress. Included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_ExportToOutputUriStatus": { "id": "GoogleCloudVideointelligenceV1p2beta1_ExportToOutputUriStatus", "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object", "properties": { "state": { "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ], "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "description": "Output only. State of the `output_uri` export.", "readOnly": true, "type": "string" }, "status": { "description": "Output only. Only set if state is FAILED.", "readOnly": true, "$ref": "GoogleRpc_Status" } } }, "GoogleCloudVideointelligenceV1_LabelSegment": { "properties": { "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" }, "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" } }, "id": "GoogleCloudVideointelligenceV1_LabelSegment", "description": "Video segment level annotation results for label detection.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_FaceDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_FaceDetectionAnnotation", "description": "Face detection annotation.", "type": "object", "properties": { "thumbnail": { "description": "The thumbnail of a person's face.", "type": "string", "format": "byte" }, "version": { "description": "Feature version.", "type": "string" }, "tracks": { "description": "The face tracks with attributes.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_Track" } } } }, "GoogleCloudVideointelligenceV1p3beta1_Entity": { "properties": { "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" }, "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_Entity", "description": "Detected entity from video analysis.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_Track": { "properties": { "segment": { "description": "Video segment of a track.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "timestampedObjects": { "description": "The object with timestamp and attributes per frame in the track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject" } }, "attributes": { "description": "Optional. Attributes in the track level.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute" } }, "confidence": { "description": "Optional. The confidence score of the tracked object.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_Track", "description": "A track of an object instance.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentFrame": { "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "pornographyLikelihood": { "description": "Likelihood of the pornography content..", "type": "string", "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ] } }, "id": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentFrame", "description": "Video frame level annotation results for explicit content.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_FaceSegment": { "id": "GoogleCloudVideointelligenceV1p3beta1_FaceSegment", "description": "Video segment level annotation results for face detection.", "type": "object", "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" } } }, "GoogleCloudVideointelligenceV1_TextAnnotation": { "id": "GoogleCloudVideointelligenceV1_TextAnnotation", "description": "Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.", "type": "object", "properties": { "version": { "description": "Feature version.", "type": "string" }, "text": { "description": "The detected text.", "type": "string" }, "segments": { "description": "All video segments where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_TextSegment" } } } }, "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame": { "id": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame", "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object", "properties": { "normalizedBoundingBox": { "description": "The normalized bounding box location of this object track for the frame.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox" }, "timeOffset": { "description": "The timestamp of the frame in microseconds.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute": { "id": "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute", "description": "A generic detected attribute represented by name in string format.", "type": "object", "properties": { "confidence": { "description": "Detected attribute confidence. Range [0, 1].", "type": "number", "format": "float" }, "name": { "description": "The name of the attribute, for example, glasses, dark_glasses, mouth_open. A full list of supported type names will be provided in the document.", "type": "string" }, "value": { "description": "Text value of the detection result. For example, the value for \"HairColor\" can be \"black\", \"blonde\", etc.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p1beta1_SpeechRecognitionAlternative": { "id": "GoogleCloudVideointelligenceV1p1beta1_SpeechRecognitionAlternative", "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object", "properties": { "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" }, "words": { "description": "Output only. A list of word-specific information for each recognized word. Note: When `enable_speaker_diarization` is set to true, you will see all the words from the beginning of the audio.", "readOnly": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_WordInfo" } } } }, "GoogleCloudVideointelligenceV1p1beta1_TextSegment": { "properties": { "segment": { "description": "Video segment where a text snippet was detected.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "frames": { "description": "Information related to the frames where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextFrame" } }, "confidence": { "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_TextSegment", "description": "Video segment level annotation results for text detection.", "type": "object" }, "GoogleCloudVideointelligenceV1_SpeechTranscriptionConfig": { "properties": { "audioTracks": { "description": "Optional. For file formats, such as MXF or MKV, supporting multiple audio tracks, specify up to two tracks. Default: track 0.", "type": "array", "items": { "type": "integer", "format": "int32" } }, "languageCode": { "description": "Required. *Required* The language of the supplied audio as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: \"en-US\". See [Language Support](https://cloud.google.com/speech/docs/languages) for a list of the currently supported language codes.", "type": "string" }, "enableWordConfidence": { "description": "Optional. If `true`, the top result includes a list of words and the confidence for those words. If `false`, no word-level confidence information is returned. The default is `false`.", "type": "boolean" }, "audioOutputUriPrefix": { "description": "Optional. Legacy field. This field must be a Cloud Storage URI prefix. (e.g., `gs://bucket/path/`).", "type": "string" }, "enableAutomaticPunctuation": { "description": "Optional. If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses. NOTE: \"This is currently offered as an experimental service, complimentary to all users. In the future this may be exclusively available as a premium feature.\"", "type": "boolean" }, "enableSpeakerDiarization": { "description": "Optional. If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: When this is true, we send all the words from the beginning of the audio for the top alternative in every consecutive response. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time.", "type": "boolean" }, "diarizationSpeakerCount": { "description": "Optional. If set, specifies the estimated number of speakers in the conversation. If not set, defaults to '2'. Ignored unless enable_speaker_diarization is set to true.", "type": "integer", "format": "int32" }, "speechContexts": { "description": "Optional. A means to provide context to assist the speech recognition.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_SpeechContext" } }, "maxAlternatives": { "description": "Optional. Maximum number of recognition hypotheses to be returned. Specifically, the maximum number of `SpeechRecognitionAlternative` messages within each `SpeechTranscription`. The server may return fewer than `max_alternatives`. Valid values are `0`-`30`. A value of `0` or `1` will return a maximum of one. If omitted, will return a maximum of one.", "type": "integer", "format": "int32" }, "filterProfanity": { "description": "Optional. If set to `true`, the server will attempt to filter out profanities, replacing all but the initial character in each filtered word with asterisks, e.g. \"f***\". If set to `false` or omitted, profanities won't be filtered out.", "type": "boolean" } }, "id": "GoogleCloudVideointelligenceV1_SpeechTranscriptionConfig", "description": "Config for SPEECH_TRANSCRIPTION.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationProgress": { "properties": { "progressPercent": { "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer", "format": "int32" }, "startTime": { "description": "Time when the request was received.", "type": "string", "format": "google-datetime" }, "updateTime": { "description": "Time of the most recent update.", "type": "string", "format": "google-datetime" }, "segment": { "description": "Specifies which segment is being tracked if the request contains more than one segment.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_ExportToOutputUriStatus" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "feature": { "enumDescriptions": [ "Unspecified.", "Label detection. Detect objects, such as dog or flower.", "Shot change detection.", "Explicit content detection.", "Human face detection.", "Speech transcription.", "OCR text detection and tracking.", "Object detection and tracking.", "Logo detection, tracking, and recognition.", "Person detection." ], "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ] } }, "id": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationProgress", "description": "Annotation progress for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_LabelFrame": { "id": "GoogleCloudVideointelligenceV1p1beta1_LabelFrame", "description": "Video frame level annotation results for label detection.", "type": "object", "properties": { "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1_TextSegment": { "properties": { "confidence": { "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number", "format": "float" }, "frames": { "description": "Information related to the frames where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_TextFrame" } }, "segment": { "description": "Video segment where a text snippet was detected.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" } }, "id": "GoogleCloudVideointelligenceV1_TextSegment", "description": "Video segment level annotation results for text detection.", "type": "object" }, "GoogleCloudVideointelligenceV1_NormalizedVertex": { "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1_NormalizedVertex", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_AnnotateVideoResponse": { "id": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoResponse", "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "properties": { "annotationResults": { "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults" } } } }, "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject": { "properties": { "normalizedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox", "description": "Normalized Bounding box in a frame, where the object is located." }, "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark" } }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this object.", "type": "string", "format": "google-duration" }, "attributes": { "description": "Optional. The attributes of the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute" } } }, "id": "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject", "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark": { "id": "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark", "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "properties": { "point": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex", "description": "The 2D point of the detected landmark using the normalized image coordinate system. The normalized coordinates have the range from 0 to 1." }, "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" }, "confidence": { "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox": { "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox", "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object", "properties": { "right": { "description": "Right X coordinate.", "type": "number", "format": "float" }, "bottom": { "description": "Bottom Y coordinate.", "type": "number", "format": "float" }, "top": { "description": "Top Y coordinate.", "type": "number", "format": "float" }, "left": { "description": "Left X coordinate.", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoResponse": { "id": "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoResponse", "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "properties": { "annotationResults": { "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults" } } } }, "GoogleCloudVideointelligenceV1_AnnotateVideoResponse": { "id": "GoogleCloudVideointelligenceV1_AnnotateVideoResponse", "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "properties": { "annotationResults": { "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoAnnotationResults" } } } }, "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation": { "properties": { "segments": { "description": "All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" } }, "entity": { "$ref": "GoogleCloudVideointelligenceV1_Entity", "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as." }, "tracks": { "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_Track" } } }, "id": "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation", "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_FaceFrame": { "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "normalizedBoundingBoxes": { "description": "Normalized Bounding boxes in a frame. There can be more than one boxes if the same face is detected in multiple locations within the current frame.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_FaceFrame", "deprecated": true, "description": "Deprecated. No effect.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject": { "properties": { "normalizedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox", "description": "Normalized Bounding box in a frame, where the object is located." }, "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark" } }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this object.", "type": "string", "format": "google-duration" }, "attributes": { "description": "Optional. The attributes of the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject", "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_VideoSegment": { "id": "GoogleCloudVideointelligenceV1beta2_VideoSegment", "description": "Video segment.", "type": "object", "properties": { "startTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string", "format": "google-duration" }, "endTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoResponse": { "id": "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoResponse", "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "properties": { "annotationResults": { "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults" } } } }, "GoogleCloudVideointelligenceV1p3beta1_Track": { "id": "GoogleCloudVideointelligenceV1p3beta1_Track", "description": "A track of an object instance.", "type": "object", "properties": { "attributes": { "description": "Optional. Attributes in the track level.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute" } }, "confidence": { "description": "Optional. The confidence score of the tracked object.", "type": "number", "format": "float" }, "timestampedObjects": { "description": "The object with timestamp and attributes per frame in the track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_TimestampedObject" } }, "segment": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment", "description": "Video segment of a track." } } }, "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation", "description": "Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.", "type": "object", "properties": { "text": { "description": "The detected text.", "type": "string" }, "segments": { "description": "All video segments where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextSegment" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p3beta1_LabelSegment": { "properties": { "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" }, "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_LabelSegment", "description": "Video segment level annotation results for label detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_FaceAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_FaceAnnotation", "deprecated": true, "description": "Deprecated. No effect.", "type": "object", "properties": { "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" }, "frames": { "description": "All video frames where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_FaceFrame" } }, "segments": { "description": "All video segments where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_FaceSegment" } } } }, "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex": { "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object", "properties": { "y": { "description": "Y coordinate.", "type": "number", "format": "float" }, "x": { "description": "X coordinate.", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p3beta1_TimestampedObject": { "id": "GoogleCloudVideointelligenceV1p3beta1_TimestampedObject", "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object", "properties": { "normalizedBoundingBox": { "description": "Normalized Bounding box in a frame, where the object is located.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox" }, "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark" } }, "attributes": { "description": "Optional. The attributes of the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute" } }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this object.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoProgress": { "properties": { "annotationProgress": { "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoProgress", "description": "Video annotation progress. Included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription": { "properties": { "alternatives": { "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_SpeechRecognitionAlternative" } }, "languageCode": { "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of the language in this result. This language code was detected to have the most likelihood of being spoken in the audio.", "readOnly": true, "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription", "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox": { "properties": { "left": { "description": "Left X coordinate.", "type": "number", "format": "float" }, "right": { "description": "Right X coordinate.", "type": "number", "format": "float" }, "bottom": { "description": "Bottom Y coordinate.", "type": "number", "format": "float" }, "top": { "description": "Top Y coordinate.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox", "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_WordInfo": { "id": "GoogleCloudVideointelligenceV1p3beta1_WordInfo", "description": "Word-specific information for recognized words. Word information is only included in the response when certain request parameters are set, such as `enable_word_time_offsets`.", "type": "object", "properties": { "startTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the start of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "endTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the end of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "speakerLabel": { "description": "Output only. A distinct string value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word.", "readOnly": true, "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" }, "speakerTag": { "description": "Output only. A distinct integer value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word. Value ranges from 1 up to diarization_speaker_count, and is only set if speaker diarization is enabled.", "readOnly": true, "type": "integer", "format": "int32" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" } } }, "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox": { "properties": { "top": { "description": "Top Y coordinate.", "type": "number", "format": "float" }, "right": { "description": "Right X coordinate.", "type": "number", "format": "float" }, "bottom": { "description": "Bottom Y coordinate.", "type": "number", "format": "float" }, "left": { "description": "Left X coordinate.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox", "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object" }, "GoogleCloudVideointelligenceV1_TextFrame": { "id": "GoogleCloudVideointelligenceV1_TextFrame", "description": "Video frame level annotation results for text annotation (OCR). Contains information regarding timestamp and bounding box locations for the frames containing detected OCR text snippets.", "type": "object", "properties": { "rotatedBoundingBox": { "description": "Bounding polygon of the detected text for this frame.", "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly" }, "timeOffset": { "description": "Timestamp of this frame.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults": { "properties": { "error": { "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail.", "$ref": "GoogleRpc_Status" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "speechTranscriptions": { "description": "Speech transcription.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_SpeechTranscription" } }, "frameLabelAnnotations": { "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" } }, "logoRecognitionAnnotations": { "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation" } }, "objectAnnotations": { "description": "Annotations for list of objects detected and tracked in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation" } }, "explicitAnnotation": { "description": "Explicit content annotation.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation" }, "textAnnotations": { "description": "OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation" } }, "segmentLabelAnnotations": { "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" } }, "segment": { "description": "Video segment on which the annotation is run.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation" } }, "shotPresenceLabelAnnotations": { "description": "Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical `shot_label_annotations`, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" } }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation" } }, "shotAnnotations": { "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" } }, "segmentPresenceLabelAnnotations": { "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" } }, "faceAnnotations": { "description": "Deprecated. Please use `face_detection_annotations` instead.", "deprecated": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceAnnotation" } }, "shotLabelAnnotations": { "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" } }, "celebrityRecognitionAnnotations": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation", "description": "Celebrity recognition annotations." } }, "id": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults", "description": "Annotation results for a single video.", "type": "object" }, "GoogleRpc_Status": { "id": "GoogleRpc_Status", "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "type": "object", "properties": { "code": { "description": "The status code, which should be an enum value of google.rpc.Code.", "type": "integer", "format": "int32" }, "message": { "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", "type": "string" }, "details": { "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "type": "array", "items": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } } } } }, "GoogleCloudVideointelligenceV1p3beta1_FaceAnnotation": { "properties": { "segments": { "description": "All video segments where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceSegment" } }, "frames": { "description": "All video frames where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceFrame" } }, "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_FaceAnnotation", "deprecated": true, "description": "Deprecated. No effect.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_Celebrity": { "id": "GoogleCloudVideointelligenceV1p3beta1_Celebrity", "description": "Celebrity definition.", "type": "object", "properties": { "name": { "description": "The resource name of the celebrity. Have the format `video-intelligence/kg-mid` indicates a celebrity from preloaded gallery. kg-mid is the id in Google knowledge graph, which is unique for the celebrity.", "type": "string" }, "displayName": { "description": "The celebrity name.", "type": "string" }, "description": { "description": "Textual description of additional information about the celebrity, if applicable.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation", "description": "Label annotation.", "type": "object", "properties": { "version": { "description": "Feature version.", "type": "string" }, "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelSegment" } }, "entity": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity", "description": "Detected entity." }, "categoryEntities": { "description": "Common categories for the detected entity. For example, when the label is `Terrier`, the category is likely `dog`. And in some cases there might be more than one categories e.g., `Terrier` could also be a `pet`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity" } }, "frames": { "description": "All video frames where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelFrame" } } } }, "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation": { "properties": { "celebrityTracks": { "description": "The tracks detected from the input video, including recognized celebrities and other detected faces in the video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack" } }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation", "description": "Celebrity recognition annotation per video.", "type": "object" }, "GoogleCloudVideointelligenceV1_DetectedLandmark": { "id": "GoogleCloudVideointelligenceV1_DetectedLandmark", "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "properties": { "point": { "$ref": "GoogleCloudVideointelligenceV1_NormalizedVertex", "description": "The 2D point of the detected landmark using the normalized image coordinate system. The normalized coordinates have the range from 0 to 1." }, "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" }, "confidence": { "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p1beta1_Track": { "properties": { "segment": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment", "description": "Video segment of a track." }, "attributes": { "description": "Optional. Attributes in the track level.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute" } }, "confidence": { "description": "Optional. The confidence score of the tracked object.", "type": "number", "format": "float" }, "timestampedObjects": { "description": "The object with timestamp and attributes per frame in the track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject" } } }, "id": "GoogleCloudVideointelligenceV1p1beta1_Track", "description": "A track of an object instance.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation", "description": "Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.", "type": "object", "properties": { "version": { "description": "Feature version.", "type": "string" }, "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame" } } } }, "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation", "description": "Face detection annotation.", "type": "object", "properties": { "thumbnail": { "description": "The thumbnail of a person's face.", "type": "string", "format": "byte" }, "version": { "description": "Feature version.", "type": "string" }, "tracks": { "description": "The face tracks with attributes.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track" } } } }, "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation", "description": "Person detection annotation per video.", "type": "object", "properties": { "tracks": { "description": "The detected tracks of a person.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1beta2_FaceAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_FaceAnnotation", "deprecated": true, "description": "Deprecated. No effect.", "type": "object", "properties": { "segments": { "description": "All video segments where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_FaceSegment" } }, "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" }, "frames": { "description": "All video frames where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_FaceFrame" } } } }, "GoogleCloudVideointelligenceV1p2beta1_TextSegment": { "properties": { "frames": { "description": "Information related to the frames where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextFrame" } }, "confidence": { "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number", "format": "float" }, "segment": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment", "description": "Video segment where a text snippet was detected." } }, "id": "GoogleCloudVideointelligenceV1p2beta1_TextSegment", "description": "Video segment level annotation results for text detection.", "type": "object" }, "GoogleCloudVideointelligenceV1_Track": { "id": "GoogleCloudVideointelligenceV1_Track", "description": "A track of an object instance.", "type": "object", "properties": { "segment": { "description": "Video segment of a track.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" }, "timestampedObjects": { "description": "The object with timestamp and attributes per frame in the track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_TimestampedObject" } }, "attributes": { "description": "Optional. Attributes in the track level.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_DetectedAttribute" } }, "confidence": { "description": "Optional. The confidence score of the tracked object.", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation": { "id": "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation", "description": "Annotations corresponding to one tracked object.", "type": "object", "properties": { "frames": { "description": "Information corresponding to all frames where this object track appears. Non-streaming batch mode: it may be one or multiple ObjectTrackingFrame messages in frames. Streaming mode: it can only be one ObjectTrackingFrame message in frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_ObjectTrackingFrame" } }, "confidence": { "description": "Object category's labeling confidence of this track.", "type": "number", "format": "float" }, "segment": { "$ref": "GoogleCloudVideointelligenceV1_VideoSegment", "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears." }, "entity": { "description": "Entity to specify the object category that this track is labeled as.", "$ref": "GoogleCloudVideointelligenceV1_Entity" }, "version": { "description": "Feature version.", "type": "string" }, "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" } } }, "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation": { "properties": { "version": { "description": "Feature version.", "type": "string" }, "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentFrame" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation", "description": "Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation", "description": "Annotations corresponding to one tracked object.", "type": "object", "properties": { "version": { "description": "Feature version.", "type": "string" }, "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" }, "frames": { "description": "Information corresponding to all frames where this object track appears. Non-streaming batch mode: it may be one or multiple ObjectTrackingFrame messages in frames. Streaming mode: it can only be one ObjectTrackingFrame message in frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame" } }, "confidence": { "description": "Object category's labeling confidence of this track.", "type": "number", "format": "float" }, "segment": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment", "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears." }, "entity": { "$ref": "GoogleCloudVideointelligenceV1beta2_Entity", "description": "Entity to specify the object category that this track is labeled as." } } }, "GoogleCloudVideointelligenceV1p3beta1_SpeechTranscription": { "properties": { "languageCode": { "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of the language in this result. This language code was detected to have the most likelihood of being spoken in the audio.", "readOnly": true, "type": "string" }, "alternatives": { "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_SpeechTranscription", "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentAnnotation": { "id": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentAnnotation", "description": "Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.", "type": "object", "properties": { "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex": { "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation", "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object", "properties": { "tracks": { "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_Track" } }, "entity": { "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as.", "$ref": "GoogleCloudVideointelligenceV1beta2_Entity" }, "segments": { "description": "All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" } } } }, "GoogleCloudVideointelligenceV1beta2_AnnotateVideoProgress": { "properties": { "annotationProgress": { "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress" } } }, "id": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoProgress", "description": "Video annotation progress. Included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_TimestampedObject": { "id": "GoogleCloudVideointelligenceV1beta2_TimestampedObject", "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object", "properties": { "normalizedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox", "description": "Normalized Bounding box in a frame, where the object is located." }, "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedLandmark" } }, "attributes": { "description": "Optional. The attributes of the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute" } }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this object.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1p2beta1_FaceSegment": { "id": "GoogleCloudVideointelligenceV1p2beta1_FaceSegment", "description": "Video segment level annotation results for face detection.", "type": "object", "properties": { "segment": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment", "description": "Video segment where a face was detected." } } }, "GoogleCloudVideointelligenceV1p2beta1_WordInfo": { "id": "GoogleCloudVideointelligenceV1p2beta1_WordInfo", "description": "Word-specific information for recognized words. Word information is only included in the response when certain request parameters are set, such as `enable_word_time_offsets`.", "type": "object", "properties": { "endTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the end of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "startTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the start of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" }, "speakerLabel": { "description": "Output only. A distinct string value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word.", "readOnly": true, "type": "string" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" }, "speakerTag": { "description": "Output only. A distinct integer value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word. Value ranges from 1 up to diarization_speaker_count, and is only set if speaker diarization is enabled.", "readOnly": true, "type": "integer", "format": "int32" } } }, "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative": { "id": "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative", "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object", "properties": { "words": { "description": "Output only. A list of word-specific information for each recognized word. Note: When `enable_speaker_diarization` is set to true, you will see all the words from the beginning of the audio.", "readOnly": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_WordInfo" } }, "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame": { "id": "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame", "description": "Video frame level annotation results for explicit content.", "type": "object", "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "pornographyLikelihood": { "description": "Likelihood of the pornography content..", "type": "string", "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ] } } }, "GoogleCloudVideointelligenceV1beta2_Track": { "id": "GoogleCloudVideointelligenceV1beta2_Track", "description": "A track of an object instance.", "type": "object", "properties": { "attributes": { "description": "Optional. Attributes in the track level.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute" } }, "confidence": { "description": "Optional. The confidence score of the tracked object.", "type": "number", "format": "float" }, "timestampedObjects": { "description": "The object with timestamp and attributes per frame in the track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_TimestampedObject" } }, "segment": { "description": "Video segment of a track.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" } } }, "GoogleCloudVideointelligenceV1_FaceSegment": { "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" } }, "id": "GoogleCloudVideointelligenceV1_FaceSegment", "description": "Video segment level annotation results for face detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_LabelSegment": { "properties": { "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" }, "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_LabelSegment", "description": "Video segment level annotation results for label detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly": { "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex" } } }, "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly", "description": "Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trigonometric calculations for location of the box.", "type": "object" }, "GoogleCloudVideointelligenceV1_ExplicitContentFrame": { "id": "GoogleCloudVideointelligenceV1_ExplicitContentFrame", "description": "Video frame level annotation results for explicit content.", "type": "object", "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "pornographyLikelihood": { "description": "Likelihood of the pornography content..", "type": "string", "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ] } } }, "GoogleCloudVideointelligenceV1p2beta1_FaceFrame": { "properties": { "normalizedBoundingBoxes": { "description": "Normalized Bounding boxes in a frame. There can be more than one boxes if the same face is detected in multiple locations within the current frame.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox" } }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_FaceFrame", "deprecated": true, "description": "Deprecated. No effect.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_TextFrame": { "id": "GoogleCloudVideointelligenceV1p3beta1_TextFrame", "description": "Video frame level annotation results for text annotation (OCR). Contains information regarding timestamp and bounding box locations for the frames containing detected OCR text snippets.", "type": "object", "properties": { "rotatedBoundingBox": { "description": "Bounding polygon of the detected text for this frame.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly" }, "timeOffset": { "description": "Timestamp of this frame.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1_ObjectTrackingConfig": { "properties": { "model": { "description": "Model to use for object tracking. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_ObjectTrackingConfig", "description": "Config for OBJECT_TRACKING.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_ExportToOutputUriStatus": { "id": "GoogleCloudVideointelligenceV1p1beta1_ExportToOutputUriStatus", "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object", "properties": { "state": { "description": "Output only. State of the `output_uri` export.", "readOnly": true, "type": "string", "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ] }, "status": { "$ref": "GoogleRpc_Status", "description": "Output only. Only set if state is FAILED.", "readOnly": true } } }, "GoogleCloudVideointelligenceV1beta2_ExportToOutputUriStatus": { "id": "GoogleCloudVideointelligenceV1beta2_ExportToOutputUriStatus", "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object", "properties": { "state": { "description": "Output only. State of the `output_uri` export.", "readOnly": true, "type": "string", "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ] }, "status": { "$ref": "GoogleRpc_Status", "description": "Output only. Only set if state is FAILED.", "readOnly": true } } }, "GoogleCloudVideointelligenceV1p2beta1_PersonDetectionAnnotation": { "properties": { "version": { "description": "Feature version.", "type": "string" }, "tracks": { "description": "The detected tracks of a person.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Track" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_PersonDetectionAnnotation", "description": "Person detection annotation per video.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation": { "properties": { "tracks": { "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track" } }, "segments": { "description": "All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" } }, "entity": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity", "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as." } }, "id": "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation", "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_ExportToOutputUriStatus": { "id": "GoogleCloudVideointelligenceV1p3beta1_ExportToOutputUriStatus", "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object", "properties": { "state": { "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ], "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "description": "Output only. State of the `output_uri` export.", "readOnly": true, "type": "string" }, "status": { "description": "Output only. Only set if state is FAILED.", "readOnly": true, "$ref": "GoogleRpc_Status" } } }, "GoogleCloudVideointelligenceV1_VideoContext": { "id": "GoogleCloudVideointelligenceV1_VideoContext", "description": "Video context and/or feature-specific parameters.", "type": "object", "properties": { "shotChangeDetectionConfig": { "$ref": "GoogleCloudVideointelligenceV1_ShotChangeDetectionConfig", "description": "Config for SHOT_CHANGE_DETECTION." }, "objectTrackingConfig": { "description": "Config for OBJECT_TRACKING.", "$ref": "GoogleCloudVideointelligenceV1_ObjectTrackingConfig" }, "labelDetectionConfig": { "description": "Config for LABEL_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1_LabelDetectionConfig" }, "explicitContentDetectionConfig": { "description": "Config for EXPLICIT_CONTENT_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1_ExplicitContentDetectionConfig" }, "segments": { "description": "Video segments to annotate. The segments may overlap and are not required to be contiguous or span the whole video. If unspecified, each video is treated as a single segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" } }, "faceDetectionConfig": { "$ref": "GoogleCloudVideointelligenceV1_FaceDetectionConfig", "description": "Config for FACE_DETECTION." }, "speechTranscriptionConfig": { "description": "Config for SPEECH_TRANSCRIPTION.", "$ref": "GoogleCloudVideointelligenceV1_SpeechTranscriptionConfig" }, "textDetectionConfig": { "description": "Config for TEXT_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1_TextDetectionConfig" }, "personDetectionConfig": { "description": "Config for PERSON_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1_PersonDetectionConfig" } } }, "GoogleCloudVideointelligenceV1p3beta1_VideoSegment": { "id": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment", "description": "Video segment.", "type": "object", "properties": { "startTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string", "format": "google-duration" }, "endTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1beta2_SpeechTranscription": { "id": "GoogleCloudVideointelligenceV1beta2_SpeechTranscription", "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object", "properties": { "languageCode": { "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of the language in this result. This language code was detected to have the most likelihood of being spoken in the audio.", "readOnly": true, "type": "string" }, "alternatives": { "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative" } } } }, "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute": { "id": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute", "description": "A generic detected attribute represented by name in string format.", "type": "object", "properties": { "confidence": { "description": "Detected attribute confidence. Range [0, 1].", "type": "number", "format": "float" }, "name": { "description": "The name of the attribute, for example, glasses, dark_glasses, mouth_open. A full list of supported type names will be provided in the document.", "type": "string" }, "value": { "description": "Text value of the detection result. For example, the value for \"HairColor\" can be \"black\", \"blonde\", etc.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoResponse": { "properties": { "annotationResults": { "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoResponse", "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object" }, "GoogleCloudVideointelligenceV1_WordInfo": { "id": "GoogleCloudVideointelligenceV1_WordInfo", "description": "Word-specific information for recognized words. Word information is only included in the response when certain request parameters are set, such as `enable_word_time_offsets`.", "type": "object", "properties": { "startTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the start of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "endTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the end of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "speakerLabel": { "description": "Output only. A distinct string value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word.", "readOnly": true, "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" }, "speakerTag": { "description": "Output only. A distinct integer value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word. Value ranges from 1 up to diarization_speaker_count, and is only set if speaker diarization is enabled.", "readOnly": true, "type": "integer", "format": "int32" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p1beta1_VideoSegment": { "properties": { "endTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).", "type": "string", "format": "google-duration" }, "startTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment", "description": "Video segment.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_FaceDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_FaceDetectionAnnotation", "description": "Face detection annotation.", "type": "object", "properties": { "thumbnail": { "description": "The thumbnail of a person's face.", "type": "string", "format": "byte" }, "version": { "description": "Feature version.", "type": "string" }, "tracks": { "description": "The face tracks with attributes.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Track" } } } }, "GoogleCloudVideointelligenceV1p1beta1_LabelSegment": { "id": "GoogleCloudVideointelligenceV1p1beta1_LabelSegment", "description": "Video segment level annotation results for label detection.", "type": "object", "properties": { "segment": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment", "description": "Video segment where a label was detected." }, "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p2beta1_TextFrame": { "properties": { "rotatedBoundingBox": { "description": "Bounding polygon of the detected text for this frame.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly" }, "timeOffset": { "description": "Timestamp of this frame.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_TextFrame", "description": "Video frame level annotation results for text annotation (OCR). Contains information regarding timestamp and bounding box locations for the frames containing detected OCR text snippets.", "type": "object" }, "GoogleCloudVideointelligenceV1_LabelFrame": { "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1_LabelFrame", "description": "Video frame level annotation results for label detection.", "type": "object" }, "GoogleCloudVideointelligenceV1_FaceFrame": { "id": "GoogleCloudVideointelligenceV1_FaceFrame", "deprecated": true, "description": "Deprecated. No effect.", "type": "object", "properties": { "normalizedBoundingBoxes": { "description": "Normalized Bounding boxes in a frame. There can be more than one boxes if the same face is detected in multiple locations within the current frame.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox" } }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1beta2_LabelSegment": { "id": "GoogleCloudVideointelligenceV1beta2_LabelSegment", "description": "Video segment level annotation results for label detection.", "type": "object", "properties": { "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" }, "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" } } }, "GoogleCloudVideointelligenceV1beta2_LabelFrame": { "id": "GoogleCloudVideointelligenceV1beta2_LabelFrame", "description": "Video frame level annotation results for label detection.", "type": "object", "properties": { "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1_TextDetectionConfig": { "properties": { "languageHints": { "description": "Language hint can be specified if the language to be detected is known a priori. It can increase the accuracy of the detection. Language hint must be language code in BCP-47 format. Automatic language detection is performed if no hint is provided.", "type": "array", "items": { "type": "string" } }, "model": { "description": "Model to use for text detection. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_TextDetectionConfig", "description": "Config for TEXT_DETECTION.", "type": "object" }, "GoogleLongrunning_CancelOperationRequest": { "properties": {}, "id": "GoogleLongrunning_CancelOperationRequest", "description": "The request message for Operations.CancelOperation.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation": { "properties": { "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame" } }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation", "description": "Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.", "type": "object" }, "GoogleCloudVideointelligenceV1_FaceAnnotation": { "properties": { "segments": { "description": "All video segments where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_FaceSegment" } }, "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" }, "frames": { "description": "All video frames where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_FaceFrame" } } }, "id": "GoogleCloudVideointelligenceV1_FaceAnnotation", "deprecated": true, "description": "Deprecated. No effect.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoProgress": { "properties": { "annotationProgress": { "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationProgress" } } }, "id": "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoProgress", "description": "Video annotation progress. Included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object" }, "GoogleCloudVideointelligenceV1_VideoSegment": { "properties": { "startTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string", "format": "google-duration" }, "endTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1_VideoSegment", "description": "Video segment.", "type": "object" }, "GoogleCloudVideointelligenceV1_ExplicitContentDetectionConfig": { "properties": { "model": { "description": "Model to use for explicit content detection. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_ExplicitContentDetectionConfig", "description": "Config for EXPLICIT_CONTENT_DETECTION.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame": { "properties": { "normalizedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox", "description": "The normalized bounding box location of this object track for the frame." }, "timeOffset": { "description": "The timestamp of the frame in microseconds.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame", "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object" }, "GoogleCloudVideointelligenceV1_FaceDetectionAnnotation": { "properties": { "tracks": { "description": "The face tracks with attributes.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_Track" } }, "thumbnail": { "description": "The thumbnail of a person's face.", "type": "string", "format": "byte" }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_FaceDetectionAnnotation", "description": "Face detection annotation.", "type": "object" }, "GoogleCloudVideointelligenceV1_VideoAnnotationResults": { "properties": { "objectAnnotations": { "description": "Annotations for list of objects detected and tracked in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation" } }, "logoRecognitionAnnotations": { "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation" } }, "segmentLabelAnnotations": { "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "explicitAnnotation": { "$ref": "GoogleCloudVideointelligenceV1_ExplicitContentAnnotation", "description": "Explicit content annotation." }, "textAnnotations": { "description": "OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_TextAnnotation" } }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "error": { "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail.", "$ref": "GoogleRpc_Status" }, "frameLabelAnnotations": { "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "speechTranscriptions": { "description": "Speech transcription.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_SpeechTranscription" } }, "shotAnnotations": { "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" } }, "shotLabelAnnotations": { "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "segmentPresenceLabelAnnotations": { "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "faceAnnotations": { "description": "Deprecated. Please use `face_detection_annotations` instead.", "deprecated": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_FaceAnnotation" } }, "shotPresenceLabelAnnotations": { "description": "Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical `shot_label_annotations`, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "segment": { "$ref": "GoogleCloudVideointelligenceV1_VideoSegment", "description": "Video segment on which the annotation is run." }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_PersonDetectionAnnotation" } }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_FaceDetectionAnnotation" } } }, "id": "GoogleCloudVideointelligenceV1_VideoAnnotationResults", "description": "Annotation results for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame": { "properties": { "normalizedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox", "description": "The normalized bounding box location of this object track for the frame." }, "timeOffset": { "description": "The timestamp of the frame in microseconds.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame", "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack": { "properties": { "celebrities": { "description": "Top N match of the celebrities for the face in this track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity" } }, "faceTrack": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track", "description": "A track of a person's face." } }, "id": "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack", "description": "The annotation result of a celebrity face track. RecognizedCelebrity field could be empty if the face track does not have any matched celebrities.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_TextAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_TextAnnotation", "description": "Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.", "type": "object", "properties": { "text": { "description": "The detected text.", "type": "string" }, "segments": { "description": "All video segments where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_TextSegment" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1_SpeechTranscription": { "properties": { "alternatives": { "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative" } }, "languageCode": { "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of the language in this result. This language code was detected to have the most likelihood of being spoken in the audio.", "readOnly": true, "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_SpeechTranscription", "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_TextFrame": { "id": "GoogleCloudVideointelligenceV1p1beta1_TextFrame", "description": "Video frame level annotation results for text annotation (OCR). Contains information regarding timestamp and bounding box locations for the frames containing detected OCR text snippets.", "type": "object", "properties": { "rotatedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly", "description": "Bounding polygon of the detected text for this frame." }, "timeOffset": { "description": "Timestamp of this frame.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1p2beta1_VideoSegment": { "properties": { "startTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string", "format": "google-duration" }, "endTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment", "description": "Video segment.", "type": "object" }, "GoogleCloudVideointelligenceV1_SpeechContext": { "properties": { "phrases": { "description": "Optional. A list of strings containing words and phrases \"hints\" so that the speech recognition is more likely to recognize them. This can be used to improve the accuracy for specific words and phrases, for example, if specific commands are typically spoken by the user. This can also be used to add additional words to the vocabulary of the recognizer. See [usage limits](https://cloud.google.com/speech/limits#content).", "type": "array", "items": { "type": "string" } } }, "id": "GoogleCloudVideointelligenceV1_SpeechContext", "description": "Provides \"hints\" to the speech recognizer to favor specific words and phrases in the results.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_DetectedAttribute": { "id": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute", "description": "A generic detected attribute represented by name in string format.", "type": "object", "properties": { "confidence": { "description": "Detected attribute confidence. Range [0, 1].", "type": "number", "format": "float" }, "name": { "description": "The name of the attribute, for example, glasses, dark_glasses, mouth_open. A full list of supported type names will be provided in the document.", "type": "string" }, "value": { "description": "Text value of the detection result. For example, the value for \"HairColor\" can be \"black\", \"blonde\", etc.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation": { "properties": { "version": { "description": "Feature version.", "type": "string" }, "frames": { "description": "All video frames where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelFrame" } }, "entity": { "description": "Detected entity.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity" }, "categoryEntities": { "description": "Common categories for the detected entity. For example, when the label is `Terrier`, the category is likely `dog`. And in some cases there might be more than one categories e.g., `Terrier` could also be a `pet`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity" } }, "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelSegment" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation", "description": "Label annotation.", "type": "object" }, "GoogleLongrunning_Operation": { "properties": { "metadata": { "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } }, "response": { "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } }, "error": { "$ref": "GoogleRpc_Status", "description": "The error result of the operation in case of failure or cancellation." }, "name": { "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, "done": { "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", "type": "boolean" } }, "id": "GoogleLongrunning_Operation", "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults": { "properties": { "objectAnnotations": { "description": "Object tracking results.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation" } }, "shotAnnotations": { "description": "Shot annotation results. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" } }, "labelAnnotations": { "description": "Label annotation results.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" } }, "frameTimestamp": { "description": "Timestamp of the processed frame in microseconds.", "type": "string", "format": "google-duration" }, "explicitAnnotation": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation", "description": "Explicit content annotation results." } }, "id": "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults", "description": "Streaming annotation results corresponding to a portion of the video that is currently being processed. Only ONE type of annotation will be specified in the response.", "type": "object" }, "GoogleCloudVideointelligenceV1_PersonDetectionConfig": { "id": "GoogleCloudVideointelligenceV1_PersonDetectionConfig", "description": "Config for PERSON_DETECTION.", "type": "object", "properties": { "includePoseLandmarks": { "description": "Whether to enable pose landmarks detection. Ignored if 'include_bounding_boxes' is set to false.", "type": "boolean" }, "includeBoundingBoxes": { "description": "Whether bounding boxes are included in the person detection annotation output.", "type": "boolean" }, "includeAttributes": { "description": "Whether to enable person attributes detection, such as cloth color (black, blue, etc), type (coat, dress, etc), pattern (plain, floral, etc), hair, etc. Ignored if 'include_bounding_boxes' is set to false.", "type": "boolean" } } }, "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame": { "id": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame", "description": "Video frame level annotation results for explicit content.", "type": "object", "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "pornographyLikelihood": { "description": "Likelihood of the pornography content..", "type": "string", "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ] } } }, "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation": { "properties": { "frames": { "description": "All video frames where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelFrame" } }, "entity": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity", "description": "Detected entity." }, "categoryEntities": { "description": "Common categories for the detected entity. For example, when the label is `Terrier`, the category is likely `dog`. And in some cases there might be more than one categories e.g., `Terrier` could also be a `pet`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity" } }, "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelSegment" } }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation", "description": "Label annotation.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute": { "properties": { "value": { "description": "Text value of the detection result. For example, the value for \"HairColor\" can be \"black\", \"blonde\", etc.", "type": "string" }, "name": { "description": "The name of the attribute, for example, glasses, dark_glasses, mouth_open. A full list of supported type names will be provided in the document.", "type": "string" }, "confidence": { "description": "Detected attribute confidence. Range [0, 1].", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute", "description": "A generic detected attribute represented by name in string format.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation": { "properties": { "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" }, "version": { "description": "Feature version.", "type": "string" }, "entity": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity", "description": "Entity to specify the object category that this track is labeled as." }, "segment": { "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "confidence": { "description": "Object category's labeling confidence of this track.", "type": "number", "format": "float" }, "frames": { "description": "Information corresponding to all frames where this object track appears. Non-streaming batch mode: it may be one or multiple ObjectTrackingFrame messages in frames. Streaming mode: it can only be one ObjectTrackingFrame message in frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation", "description": "Annotations corresponding to one tracked object.", "type": "object" }, "GoogleCloudVideointelligenceV1_DetectedAttribute": { "properties": { "name": { "description": "The name of the attribute, for example, glasses, dark_glasses, mouth_open. A full list of supported type names will be provided in the document.", "type": "string" }, "confidence": { "description": "Detected attribute confidence. Range [0, 1].", "type": "number", "format": "float" }, "value": { "description": "Text value of the detection result. For example, the value for \"HairColor\" can be \"black\", \"blonde\", etc.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_DetectedAttribute", "description": "A generic detected attribute represented by name in string format.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_WordInfo": { "properties": { "speakerLabel": { "description": "Output only. A distinct string value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word.", "readOnly": true, "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" }, "startTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the start of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "endTime": { "description": "Time offset relative to the beginning of the audio, and corresponding to the end of the spoken word. This field is only set if `enable_word_time_offsets=true` and only in the top hypothesis. This is an experimental feature and the accuracy of the time offset can vary.", "type": "string", "format": "google-duration" }, "speakerTag": { "description": "Output only. A distinct integer value is assigned for every speaker within the audio. This field specifies which one of those speakers was detected to have spoken this word. Value ranges from 1 up to diarization_speaker_count, and is only set if speaker diarization is enabled.", "readOnly": true, "type": "integer", "format": "int32" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_WordInfo", "description": "Word-specific information for recognized words. Word information is only included in the response when certain request parameters are set, such as `enable_word_time_offsets`.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress": { "id": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress", "description": "Annotation progress for a single video.", "type": "object", "properties": { "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "feature": { "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ], "enumDescriptions": [ "Unspecified.", "Label detection. Detect objects, such as dog or flower.", "Shot change detection.", "Explicit content detection.", "Human face detection.", "Speech transcription.", "OCR text detection and tracking.", "Object detection and tracking.", "Logo detection, tracking, and recognition.", "Person detection." ] }, "startTime": { "description": "Time when the request was received.", "type": "string", "format": "google-datetime" }, "updateTime": { "description": "Time of the most recent update.", "type": "string", "format": "google-datetime" }, "segment": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment", "description": "Specifies which segment is being tracked if the request contains more than one segment." }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_ExportToOutputUriStatus" }, "progressPercent": { "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer", "format": "int32" } } }, "GoogleCloudVideointelligenceV1beta2_NormalizedVertex": { "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object" }, "GoogleCloudVideointelligenceV1_AnnotateVideoProgress": { "properties": { "annotationProgress": { "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoAnnotationProgress" } } }, "id": "GoogleCloudVideointelligenceV1_AnnotateVideoProgress", "description": "Video annotation progress. Included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_PersonDetectionAnnotation": { "properties": { "version": { "description": "Feature version.", "type": "string" }, "tracks": { "description": "The detected tracks of a person.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Track" } } }, "id": "GoogleCloudVideointelligenceV1p1beta1_PersonDetectionAnnotation", "description": "Person detection annotation per video.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex": { "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults": { "properties": { "shotAnnotations": { "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" } }, "shotLabelAnnotations": { "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" } }, "segmentPresenceLabelAnnotations": { "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" } }, "faceAnnotations": { "description": "Deprecated. Please use `face_detection_annotations` instead.", "deprecated": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_FaceAnnotation" } }, "shotPresenceLabelAnnotations": { "description": "Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical `shot_label_annotations`, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" } }, "segment": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment", "description": "Video segment on which the annotation is run." }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_PersonDetectionAnnotation" } }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_FaceDetectionAnnotation" } }, "objectAnnotations": { "description": "Annotations for list of objects detected and tracked in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation" } }, "logoRecognitionAnnotations": { "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation" } }, "segmentLabelAnnotations": { "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" } }, "explicitAnnotation": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentAnnotation", "description": "Explicit content annotation." }, "textAnnotations": { "description": "OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextAnnotation" } }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "error": { "$ref": "GoogleRpc_Status", "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail." }, "frameLabelAnnotations": { "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" } }, "speechTranscriptions": { "description": "Speech transcription.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults", "description": "Annotation results for a single video.", "type": "object" }, "GoogleProtobuf_Empty": { "id": "GoogleProtobuf_Empty", "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", "type": "object", "properties": {} }, "GoogleCloudVideointelligenceV1_AnnotateVideoRequest": { "properties": { "inputUri": { "description": "Input video location. Currently, only [Cloud Storage](https://cloud.google.com/storage/) URIs are supported. URIs must be specified in the following format: `gs://bucket-id/object-id` (other URI formats return google.rpc.Code.INVALID_ARGUMENT). For more information, see [Request URIs](https://cloud.google.com/storage/docs/request-endpoints). To identify multiple videos, a video URI may include wildcards in the `object-id`. Supported wildcards: '*' to match 0 or more characters; '?' to match 1 character. If unset, the input video should be embedded in the request as `input_content`. If set, `input_content` must be unset.", "type": "string" }, "videoContext": { "description": "Additional video context and/or feature-specific parameters.", "$ref": "GoogleCloudVideointelligenceV1_VideoContext" }, "features": { "description": "Required. Requested video annotation features.", "type": "array", "items": { "type": "string", "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ], "enumDescriptions": [ "Unspecified.", "Label detection. Detect objects, such as dog or flower.", "Shot change detection.", "Explicit content detection.", "Human face detection.", "Speech transcription.", "OCR text detection and tracking.", "Object detection and tracking.", "Logo detection, tracking, and recognition.", "Person detection." ] } }, "outputUri": { "description": "Optional. Location where the output (in JSON format) should be stored. Currently, only [Cloud Storage](https://cloud.google.com/storage/) URIs are supported. These must be specified in the following format: `gs://bucket-id/object-id` (other URI formats return google.rpc.Code.INVALID_ARGUMENT). For more information, see [Request URIs](https://cloud.google.com/storage/docs/request-endpoints).", "type": "string" }, "locationId": { "description": "Optional. Cloud region where annotation should take place. Supported cloud regions are: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region is specified, the region will be determined based on video file location.", "type": "string" }, "inputContent": { "description": "The video data bytes. If unset, the input video(s) should be specified via the `input_uri`. If set, `input_uri` must be unset.", "type": "string", "format": "byte" } }, "id": "GoogleCloudVideointelligenceV1_AnnotateVideoRequest", "description": "Video annotation request.", "type": "object" }, "GoogleCloudVideointelligenceV1_FaceDetectionConfig": { "properties": { "includeBoundingBoxes": { "description": "Whether bounding boxes are included in the face annotation output.", "type": "boolean" }, "includeAttributes": { "description": "Whether to enable face attributes detection, such as glasses, dark_glasses, mouth_open etc. Ignored if 'include_bounding_boxes' is set to false.", "type": "boolean" }, "model": { "description": "Model to use for face detection. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_FaceDetectionConfig", "description": "Config for FACE_DETECTION.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_FaceSegment": { "id": "GoogleCloudVideointelligenceV1p1beta1_FaceSegment", "description": "Video segment level annotation results for face detection.", "type": "object", "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" } } }, "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame": { "properties": { "normalizedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox", "description": "The normalized bounding box location of this object track for the frame." }, "timeOffset": { "description": "The timestamp of the frame in microseconds.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame", "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_FaceFrame": { "id": "GoogleCloudVideointelligenceV1p1beta1_FaceFrame", "deprecated": true, "description": "Deprecated. No effect.", "type": "object", "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "normalizedBoundingBoxes": { "description": "Normalized Bounding boxes in a frame. There can be more than one boxes if the same face is detected in multiple locations within the current frame.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox" } } } }, "GoogleCloudVideointelligenceV1beta2_FaceFrame": { "id": "GoogleCloudVideointelligenceV1beta2_FaceFrame", "deprecated": true, "description": "Deprecated. No effect.", "type": "object", "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "normalizedBoundingBoxes": { "description": "Normalized Bounding boxes in a frame. There can be more than one boxes if the same face is detected in multiple locations within the current frame.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox" } } } }, "GoogleCloudVideointelligenceV1_ObjectTrackingFrame": { "properties": { "normalizedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox", "description": "The normalized bounding box location of this object track for the frame." }, "timeOffset": { "description": "The timestamp of the frame in microseconds.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1_ObjectTrackingFrame", "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation", "description": "Annotations corresponding to one tracked object.", "type": "object", "properties": { "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" }, "version": { "description": "Feature version.", "type": "string" }, "entity": { "description": "Entity to specify the object category that this track is labeled as.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity" }, "segment": { "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "confidence": { "description": "Object category's labeling confidence of this track.", "type": "number", "format": "float" }, "frames": { "description": "Information corresponding to all frames where this object track appears. Non-streaming batch mode: it may be one or multiple ObjectTrackingFrame messages in frames. Streaming mode: it can only be one ObjectTrackingFrame message in frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame" } } } }, "GoogleCloudVideointelligenceV1beta2_Entity": { "properties": { "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" }, "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" }, "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1beta2_Entity", "description": "Detected entity from video analysis.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults": { "id": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults", "description": "Annotation results for a single video.", "type": "object", "properties": { "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "error": { "$ref": "GoogleRpc_Status", "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail." }, "frameLabelAnnotations": { "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" } }, "speechTranscriptions": { "description": "Speech transcription.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription" } }, "objectAnnotations": { "description": "Annotations for list of objects detected and tracked in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation" } }, "logoRecognitionAnnotations": { "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LogoRecognitionAnnotation" } }, "segmentLabelAnnotations": { "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" } }, "textAnnotations": { "description": "OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation" } }, "explicitAnnotation": { "description": "Explicit content annotation.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation" }, "shotPresenceLabelAnnotations": { "description": "Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical `shot_label_annotations`, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" } }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_PersonDetectionAnnotation" } }, "segment": { "description": "Video segment on which the annotation is run.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_FaceDetectionAnnotation" } }, "shotAnnotations": { "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" } }, "shotLabelAnnotations": { "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" } }, "faceAnnotations": { "description": "Deprecated. Please use `face_detection_annotations` instead.", "deprecated": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_FaceAnnotation" } }, "segmentPresenceLabelAnnotations": { "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" } } } }, "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative": { "id": "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative", "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object", "properties": { "words": { "description": "Output only. A list of word-specific information for each recognized word. Note: When `enable_speaker_diarization` is set to true, you will see all the words from the beginning of the audio.", "readOnly": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_WordInfo" } }, "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p2beta1_Entity": { "id": "GoogleCloudVideointelligenceV1p2beta1_Entity", "description": "Detected entity from video analysis.", "type": "object", "properties": { "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" }, "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" } } }, "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults": { "properties": { "objectAnnotations": { "description": "Annotations for list of objects detected and tracked in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation" } }, "logoRecognitionAnnotations": { "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation" } }, "segmentLabelAnnotations": { "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" } }, "textAnnotations": { "description": "OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_TextAnnotation" } }, "explicitAnnotation": { "description": "Explicit content annotation.", "$ref": "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "error": { "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail.", "$ref": "GoogleRpc_Status" }, "frameLabelAnnotations": { "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" } }, "speechTranscriptions": { "description": "Speech transcription.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechTranscription" } }, "shotAnnotations": { "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" } }, "shotLabelAnnotations": { "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" } }, "faceAnnotations": { "description": "Deprecated. Please use `face_detection_annotations` instead.", "deprecated": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_FaceAnnotation" } }, "segmentPresenceLabelAnnotations": { "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" } }, "shotPresenceLabelAnnotations": { "description": "Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical `shot_label_annotations`, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" } }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_PersonDetectionAnnotation" } }, "segment": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment", "description": "Video segment on which the annotation is run." }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_FaceDetectionAnnotation" } } }, "id": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults", "description": "Annotation results for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_TextAnnotation": { "id": "GoogleCloudVideointelligenceV1p2beta1_TextAnnotation", "description": "Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.", "type": "object", "properties": { "text": { "description": "The detected text.", "type": "string" }, "segments": { "description": "All video segments where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextSegment" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p3beta1_TextSegment": { "id": "GoogleCloudVideointelligenceV1p3beta1_TextSegment", "description": "Video segment level annotation results for text detection.", "type": "object", "properties": { "segment": { "description": "Video segment where a text snippet was detected.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "confidence": { "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number", "format": "float" }, "frames": { "description": "Information related to the frames where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextFrame" } } } }, "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress": { "id": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress", "description": "Annotation progress for a single video.", "type": "object", "properties": { "progressPercent": { "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer", "format": "int32" }, "startTime": { "description": "Time when the request was received.", "type": "string", "format": "google-datetime" }, "updateTime": { "description": "Time of the most recent update.", "type": "string", "format": "google-datetime" }, "segment": { "description": "Specifies which segment is being tracked if the request contains more than one segment.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1beta2_ExportToOutputUriStatus" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "feature": { "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ], "enumDescriptions": [ "Unspecified.", "Label detection. Detect objects, such as dog or flower.", "Shot change detection.", "Explicit content detection.", "Human face detection.", "Speech transcription.", "OCR text detection and tracking.", "Object detection and tracking.", "Logo detection, tracking, and recognition.", "Person detection." ] } } }, "GoogleCloudVideointelligenceV1p2beta1_LabelFrame": { "id": "GoogleCloudVideointelligenceV1p2beta1_LabelFrame", "description": "Video frame level annotation results for label detection.", "type": "object", "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p3beta1_StreamingAnnotateVideoResponse": { "id": "GoogleCloudVideointelligenceV1p3beta1_StreamingAnnotateVideoResponse", "description": "`StreamingAnnotateVideoResponse` is the only message returned to the client by `StreamingAnnotateVideo`. A series of zero or more `StreamingAnnotateVideoResponse` messages are streamed back to the client.", "type": "object", "properties": { "annotationResults": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults", "description": "Streaming annotation results." }, "error": { "description": "If set, returns a google.rpc.Status message that specifies the error for the operation.", "$ref": "GoogleRpc_Status" }, "annotationResultsUri": { "description": "Google Cloud Storage URI that stores annotation results of one streaming session in JSON format. It is the annotation_result_storage_directory from the request followed by '/cloud_project_number-session_id'.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p1beta1_LogoRecognitionAnnotation": { "properties": { "tracks": { "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Track" } }, "segments": { "description": "All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" } }, "entity": { "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_LogoRecognitionAnnotation", "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly": { "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly", "description": "Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trigonometric calculations for location of the box.", "type": "object" }, "GoogleLongrunning_ListOperationsResponse": { "id": "GoogleLongrunning_ListOperationsResponse", "description": "The response message for Operations.ListOperations.", "type": "object", "properties": { "operations": { "description": "A list of operations that matches the specified filter in the request.", "type": "array", "items": { "$ref": "GoogleLongrunning_Operation" } }, "nextPageToken": { "description": "The standard List next-page token.", "type": "string" }, "unreachable": { "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", "type": "array", "items": { "type": "string" } } } }, "GoogleCloudVideointelligenceV1beta2_FaceSegment": { "id": "GoogleCloudVideointelligenceV1beta2_FaceSegment", "description": "Video segment level annotation results for face detection.", "type": "object", "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" } } }, "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly": { "id": "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly", "description": "Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trigonometric calculations for location of the box.", "type": "object", "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_NormalizedVertex" } } } }, "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox": { "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox", "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object", "properties": { "left": { "description": "Left X coordinate.", "type": "number", "format": "float" }, "top": { "description": "Top Y coordinate.", "type": "number", "format": "float" }, "right": { "description": "Right X coordinate.", "type": "number", "format": "float" }, "bottom": { "description": "Bottom Y coordinate.", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly": { "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly", "description": "Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trigonometric calculations for location of the box.", "type": "object", "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex" } } } }, "GoogleCloudVideointelligenceV1beta2_TextFrame": { "properties": { "rotatedBoundingBox": { "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly", "description": "Bounding polygon of the detected text for this frame." }, "timeOffset": { "description": "Timestamp of this frame.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1beta2_TextFrame", "description": "Video frame level annotation results for text annotation (OCR). Contains information regarding timestamp and bounding box locations for the frames containing detected OCR text snippets.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative": { "id": "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative", "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object", "properties": { "words": { "description": "Output only. A list of word-specific information for each recognized word. Note: When `enable_speaker_diarization` is set to true, you will see all the words from the beginning of the audio.", "readOnly": true, "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_WordInfo" } }, "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "readOnly": true, "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1_ExplicitContentAnnotation": { "properties": { "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_ExplicitContentFrame" } }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_ExplicitContentAnnotation", "description": "Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.", "type": "object" }, "GoogleCloudVideointelligenceV1_ShotChangeDetectionConfig": { "properties": { "model": { "description": "Model to use for shot change detection. Supported values: \"builtin/stable\" (the default if unset), \"builtin/latest\", and \"builtin/legacy\".", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_ShotChangeDetectionConfig", "description": "Config for SHOT_CHANGE_DETECTION.", "type": "object" }, "GoogleCloudVideointelligenceV1_LabelDetectionConfig": { "id": "GoogleCloudVideointelligenceV1_LabelDetectionConfig", "description": "Config for LABEL_DETECTION.", "type": "object", "properties": { "model": { "description": "Model to use for label detection. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" }, "frameConfidenceThreshold": { "description": "The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.", "type": "number", "format": "float" }, "videoConfidenceThreshold": { "description": "The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it's set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.", "type": "number", "format": "float" }, "labelDetectionMode": { "enumDescriptions": [ "Unspecified.", "Detect shot-level labels.", "Detect frame-level labels.", "Detect both shot-level and frame-level labels." ], "description": "What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to `SHOT_MODE`.", "type": "string", "enum": [ "LABEL_DETECTION_MODE_UNSPECIFIED", "SHOT_MODE", "FRAME_MODE", "SHOT_AND_FRAME_MODE" ] }, "stationaryCamera": { "description": "Whether the video has been shot from a stationary (i.e., non-moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with `SHOT_AND_FRAME_MODE` enabled.", "type": "boolean" } } }, "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame": { "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "pornographyLikelihood": { "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ], "description": "Likelihood of the pornography content..", "type": "string", "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] } }, "id": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame", "description": "Video frame level annotation results for explicit content.", "type": "object" }, "GoogleCloudVideointelligenceV1_LabelAnnotation": { "properties": { "frames": { "description": "All video frames where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelFrame" } }, "entity": { "description": "Detected entity.", "$ref": "GoogleCloudVideointelligenceV1_Entity" }, "categoryEntities": { "description": "Common categories for the detected entity. For example, when the label is `Terrier`, the category is likely `dog`. And in some cases there might be more than one categories e.g., `Terrier` could also be a `pet`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_Entity" } }, "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelSegment" } }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_LabelAnnotation", "description": "Label annotation.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress": { "properties": { "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "feature": { "enumDescriptions": [ "Unspecified.", "Label detection. Detect objects, such as dog or flower.", "Shot change detection.", "Explicit content detection.", "Human face detection.", "Speech transcription.", "OCR text detection and tracking.", "Object detection and tracking.", "Logo detection, tracking, and recognition.", "Celebrity recognition.", "Person detection." ], "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "CELEBRITY_RECOGNITION", "PERSON_DETECTION" ] }, "startTime": { "description": "Time when the request was received.", "type": "string", "format": "google-datetime" }, "updateTime": { "description": "Time of the most recent update.", "type": "string", "format": "google-datetime" }, "segment": { "description": "Specifies which segment is being tracked if the request contains more than one segment.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "exportStatus": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExportToOutputUriStatus", "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request." }, "progressPercent": { "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer", "format": "int32" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress", "description": "Annotation progress for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_FaceDetectionAnnotation": { "properties": { "tracks": { "description": "The face tracks with attributes.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Track" } }, "thumbnail": { "description": "The thumbnail of a person's face.", "type": "string", "format": "byte" }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_FaceDetectionAnnotation", "description": "Face detection annotation.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription": { "properties": { "languageCode": { "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of the language in this result. This language code was detected to have the most likelihood of being spoken in the audio.", "readOnly": true, "type": "string" }, "alternatives": { "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription", "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object" } }, "auth": { "oauth2": { "scopes": { "https://www.googleapis.com/auth/cloud-platform": { "description": "See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account." } } } }, "name": "videointelligence", "id": "videointelligence:v1", "ownerDomain": "google.com", "resources": { "projects": { "resources": { "locations": { "resources": { "operations": { "methods": { "list": { "parameters": { "returnPartialSuccess": { "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "type": "boolean", "location": "query" }, "pageSize": { "description": "The standard list page size.", "type": "integer", "format": "int32", "location": "query" }, "pageToken": { "description": "The standard list page token.", "type": "string", "location": "query" }, "filter": { "location": "query", "description": "The standard list filter.", "type": "string" }, "name": { "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "The name of the operation's parent resource.", "type": "string" } }, "response": { "$ref": "GoogleLongrunning_ListOperationsResponse" }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "videointelligence.projects.locations.operations.list", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/operations", "path": "v1/{+name}/operations", "httpMethod": "GET" }, "get": { "path": "v1/{+name}", "httpMethod": "GET", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}", "id": "videointelligence.projects.locations.operations.get", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "description": "The name of the operation resource.", "type": "string", "required": true, "location": "path" } }, "response": { "$ref": "GoogleLongrunning_Operation" } }, "delete": { "id": "videointelligence.projects.locations.operations.delete", "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1/{+name}", "httpMethod": "DELETE", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}", "parameters": { "name": { "location": "path", "required": true, "description": "The name of the operation resource to be deleted.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$" } }, "response": { "$ref": "GoogleProtobuf_Empty" }, "parameterOrder": [ "name" ] }, "cancel": { "id": "videointelligence.projects.locations.operations.cancel", "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1/{+name}:cancel", "httpMethod": "POST", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}:cancel", "parameterOrder": [ "name" ], "request": { "$ref": "GoogleLongrunning_CancelOperationRequest" }, "parameters": { "name": { "location": "path", "required": true, "description": "The name of the operation resource to be cancelled.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$" } }, "response": { "$ref": "GoogleProtobuf_Empty" } } } } } } } }, "operations": { "resources": { "projects": { "resources": { "locations": { "resources": { "operations": { "methods": { "get": { "path": "v1/operations/{+name}", "httpMethod": "GET", "flatPath": "v1/operations/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}", "id": "videointelligence.operations.projects.locations.operations.get", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "parameters": { "name": { "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "description": "The name of the operation resource.", "type": "string" } }, "response": { "$ref": "GoogleLongrunning_Operation" } }, "delete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "videointelligence.operations.projects.locations.operations.delete", "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", "flatPath": "v1/operations/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}", "path": "v1/operations/{+name}", "httpMethod": "DELETE", "parameterOrder": [ "name" ], "parameters": { "name": { "location": "path", "required": true, "description": "The name of the operation resource to be deleted.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$" } }, "response": { "$ref": "GoogleProtobuf_Empty" } }, "cancel": { "flatPath": "v1/operations/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}:cancel", "path": "v1/operations/{+name}:cancel", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "videointelligence.operations.projects.locations.operations.cancel", "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "parameters": { "name": { "description": "The name of the operation resource to be cancelled.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "location": "path", "required": true } }, "response": { "$ref": "GoogleProtobuf_Empty" }, "parameterOrder": [ "name" ] } } } } } } } } }, "videos": { "methods": { "annotate": { "id": "videointelligence.videos.annotate", "description": "Performs asynchronous video annotation. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `AnnotateVideoProgress` (progress). `Operation.response` contains `AnnotateVideoResponse` (results).", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1/videos:annotate", "httpMethod": "POST", "flatPath": "v1/videos:annotate", "parameterOrder": [], "request": { "$ref": "GoogleCloudVideointelligenceV1_AnnotateVideoRequest" }, "parameters": {}, "response": { "$ref": "GoogleLongrunning_Operation" } } } } }, "revision": "20260428", "ownerName": "Google", "mtlsRootUrl": "https://videointelligence.mtls.googleapis.com/", "kind": "discovery#restDescription", "batchPath": "batch", "protocol": "rest", "version": "v1", "version_module": true, "documentationLink": "https://cloud.google.com/video-intelligence/docs/", "canonicalName": "Cloud Video Intelligence" }