{ "revision": "20260428", "name": "videointelligence", "batchPath": "batch", "title": "Cloud Video Intelligence API", "kind": "discovery#restDescription", "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." } } } }, "baseUrl": "https://videointelligence.googleapis.com/", "documentationLink": "https://cloud.google.com/video-intelligence/docs/", "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.", "canonicalName": "Cloud Video Intelligence", "id": "videointelligence:v1beta2", "schemas": { "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation": { "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object", "properties": { "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "description": "All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.", "type": "array" }, "entity": { "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity" }, "tracks": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Track" }, "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation" }, "GoogleCloudVideointelligenceV1beta2_LabelSegment": { "description": "Video segment level annotation results for label detection.", "type": "object", "properties": { "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" }, "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1beta2_LabelSegment" }, "GoogleCloudVideointelligenceV1beta2_AnnotateVideoProgress": { "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", "properties": { "annotationProgress": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress" }, "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array" } } }, "GoogleCloudVideointelligenceV1_AnnotateVideoProgress": { "id": "GoogleCloudVideointelligenceV1_AnnotateVideoProgress", "properties": { "annotationProgress": { "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoAnnotationProgress" } } }, "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" }, "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults": { "id": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults", "properties": { "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": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" } }, "error": { "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail.", "$ref": "GoogleRpc_Status" }, "logoRecognitionAnnotations": { "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation" } }, "textAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation" }, "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" }, "speechTranscriptions": { "description": "Speech transcription.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_SpeechTranscription" } }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation" } }, "objectAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation" }, "description": "Annotations for list of objects detected and tracked in video.", "type": "array" }, "explicitAnnotation": { "description": "Explicit content annotation.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation" } }, "shotLabelAnnotations": { "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" } }, "frameLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" }, "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array" }, "segment": { "description": "Video segment on which the annotation is run.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "shotAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array" }, "faceAnnotations": { "deprecated": true, "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceAnnotation" }, "description": "Deprecated. Please use `face_detection_annotations` instead.", "type": "array" }, "segmentLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" }, "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array" }, "celebrityRecognitionAnnotations": { "description": "Celebrity recognition annotations.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation" }, "segmentPresenceLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" }, "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array" } }, "description": "Annotation results for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentAnnotation": { "id": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentAnnotation", "properties": { "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame" } }, "version": { "description": "Feature version.", "type": "string" } }, "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" }, "GoogleCloudVideointelligenceV1p3beta1_TextFrame": { "properties": { "timeOffset": { "description": "Timestamp of this frame.", "type": "string", "format": "google-duration" }, "rotatedBoundingBox": { "description": "Bounding polygon of the detected text for this frame.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly" } }, "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", "id": "GoogleCloudVideointelligenceV1p3beta1_TextFrame" }, "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame": { "id": "GoogleCloudVideointelligenceV1p2beta1_ExplicitContentFrame", "description": "Video frame level annotation results for explicit content.", "type": "object", "properties": { "pornographyLikelihood": { "description": "Likelihood of the pornography content..", "type": "string", "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ], "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "timeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string" } } }, "GoogleCloudVideointelligenceV1beta2_LabelDetectionConfig": { "id": "GoogleCloudVideointelligenceV1beta2_LabelDetectionConfig", "description": "Config for LABEL_DETECTION.", "type": "object", "properties": { "labelDetectionMode": { "enum": [ "LABEL_DETECTION_MODE_UNSPECIFIED", "SHOT_MODE", "FRAME_MODE", "SHOT_AND_FRAME_MODE" ], "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", "enumDescriptions": [ "Unspecified.", "Detect shot-level labels.", "Detect frame-level labels.", "Detect both shot-level and frame-level labels." ] }, "videoConfidenceThreshold": { "format": "float", "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" }, "frameConfidenceThreshold": { "format": "float", "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" }, "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" }, "model": { "description": "Model to use for label detection. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" } } }, "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" }, "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" } }, "id": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute" }, "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": { "version": { "description": "Feature version.", "type": "string" }, "segments": { "description": "All video segments where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextSegment" } }, "text": { "description": "The detected text.", "type": "string" } } }, "GoogleCloudVideointelligenceV1_FaceFrame": { "deprecated": true, "description": "Deprecated. No effect.", "type": "object", "id": "GoogleCloudVideointelligenceV1_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": { "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox" } } } }, "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation": { "description": "Annotations corresponding to one tracked object.", "type": "object", "properties": { "segment": { "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame" }, "description": "Information corresponding to all frames where this object track appears. Non-streaming batch mode: it may be one or multiple ObjectTrackingFrame messages in frames. Streaming mode: it can only be one ObjectTrackingFrame message in frames.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" }, "trackId": { "format": "int64", "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string" }, "confidence": { "format": "float", "description": "Object category's labeling confidence of this track.", "type": "number" }, "entity": { "description": "Entity to specify the object category that this track is labeled as.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation" }, "GoogleCloudVideointelligenceV1p2beta1_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" }, "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" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute" }, "GoogleCloudVideointelligenceV1p1beta1_ExportToOutputUriStatus": { "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object", "properties": { "status": { "readOnly": true, "description": "Output only. Only set if state is FAILED.", "$ref": "GoogleRpc_Status" }, "state": { "description": "Output only. State of the `output_uri` export.", "type": "string", "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "readOnly": true, "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ] } }, "id": "GoogleCloudVideointelligenceV1p1beta1_ExportToOutputUriStatus" }, "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation": { "id": "GoogleCloudVideointelligenceV1p3beta1_TextAnnotation", "description": "Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.", "type": "object", "properties": { "text": { "description": "The detected text.", "type": "string" }, "version": { "description": "Feature version.", "type": "string" }, "segments": { "description": "All video segments where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextSegment" } } } }, "GoogleCloudVideointelligenceV1p2beta1_FaceDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1p2beta1_FaceDetectionAnnotation", "description": "Face detection annotation.", "type": "object", "properties": { "tracks": { "description": "The face tracks with attributes.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Track" } }, "version": { "description": "Feature version.", "type": "string" }, "thumbnail": { "description": "The thumbnail of a person's face.", "type": "string", "format": "byte" } } }, "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription": { "id": "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription", "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object", "properties": { "alternatives": { "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array", "items": { "$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.", "type": "string", "readOnly": true } } }, "GoogleCloudVideointelligenceV1p2beta1_LabelSegment": { "id": "GoogleCloudVideointelligenceV1p2beta1_LabelSegment", "properties": { "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" } }, "description": "Video segment level annotation results for label detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation": { "properties": { "celebrityTracks": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack" }, "description": "The tracks detected from the input video, including recognized celebrities and other detected faces in the video.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" } }, "description": "Celebrity recognition annotation per video.", "type": "object", "id": "GoogleCloudVideointelligenceV1p3beta1_CelebrityRecognitionAnnotation" }, "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark": { "id": "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark", "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "properties": { "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.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex" }, "confidence": { "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number", "format": "float" }, "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative": { "id": "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative", "properties": { "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "confidence": { "format": "float", "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "type": "number", "readOnly": true }, "words": { "description": "Output only. A list of word-specific information for each recognized word. Note: When `enable_speaker_diarization` is set to true, you will see all the words from the beginning of the audio.", "type": "array", "readOnly": true, "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_WordInfo" } } }, "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame": { "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object", "properties": { "timeOffset": { "format": "google-duration", "description": "The timestamp of the frame in microseconds.", "type": "string" }, "normalizedBoundingBox": { "description": "The normalized bounding box location of this object track for the frame.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingFrame" }, "GoogleCloudVideointelligenceV1beta2_LabelAnnotation": { "properties": { "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelSegment" } }, "entity": { "description": "Detected entity.", "$ref": "GoogleCloudVideointelligenceV1beta2_Entity" }, "categoryEntities": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_Entity" }, "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" }, "frames": { "description": "All video frames where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelFrame" } }, "version": { "description": "Feature version.", "type": "string" } }, "description": "Label annotation.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" }, "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame": { "id": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame", "properties": { "timeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string" }, "pornographyLikelihood": { "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood of the pornography content..", "type": "string", "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ] } }, "description": "Video frame level annotation results for explicit content.", "type": "object" }, "GoogleCloudVideointelligenceV1_TimestampedObject": { "id": "GoogleCloudVideointelligenceV1_TimestampedObject", "properties": { "landmarks": { "items": { "$ref": "GoogleCloudVideointelligenceV1_DetectedLandmark" }, "description": "Optional. The detected landmarks.", "type": "array" }, "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": { "items": { "$ref": "GoogleCloudVideointelligenceV1_DetectedAttribute" }, "description": "Optional. The attributes of the object in the bounding box.", "type": "array" }, "normalizedBoundingBox": { "description": "Normalized Bounding box in a frame, where the object is located.", "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox" } }, "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object" }, "GoogleCloudVideointelligenceV1_TextSegment": { "id": "GoogleCloudVideointelligenceV1_TextSegment", "description": "Video segment level annotation results for text detection.", "type": "object", "properties": { "segment": { "description": "Video segment where a text snippet was detected.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" }, "confidence": { "format": "float", "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number" }, "frames": { "description": "Information related to the frames where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_TextFrame" } } } }, "GoogleCloudVideointelligenceV1beta2_AnnotateVideoResponse": { "properties": { "annotationResults": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults" }, "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array" } }, "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoResponse" }, "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoProgress": { "id": "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoProgress", "properties": { "annotationProgress": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationProgress" }, "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array" } }, "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_Track": { "description": "A track of an object instance.", "type": "object", "properties": { "attributes": { "description": "Optional. Attributes in the track level.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_DetectedAttribute" } }, "segment": { "description": "Video segment of a track.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" }, "confidence": { "format": "float", "description": "Optional. The confidence score of the tracked object.", "type": "number" }, "timestampedObjects": { "description": "The object with timestamp and attributes per frame in the track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_TimestampedObject" } } }, "id": "GoogleCloudVideointelligenceV1_Track" }, "GoogleCloudVideointelligenceV1p1beta1_FaceAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_FaceAnnotation", "properties": { "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_FaceSegment" }, "description": "All video segments where a face was detected.", "type": "array" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_FaceFrame" }, "description": "All video frames where a face was detected.", "type": "array" }, "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" } }, "deprecated": true, "description": "Deprecated. No effect.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_Track": { "id": "GoogleCloudVideointelligenceV1p1beta1_Track", "description": "A track of an object instance.", "type": "object", "properties": { "segment": { "description": "Video segment of a track.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "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": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject" } }, "attributes": { "description": "Optional. Attributes in the track level.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute" } } } }, "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults": { "id": "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults", "properties": { "frameTimestamp": { "format": "google-duration", "description": "Timestamp of the processed frame in microseconds.", "type": "string" }, "shotAnnotations": { "description": "Shot annotation results. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" } }, "labelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" }, "description": "Label annotation results.", "type": "array" }, "explicitAnnotation": { "description": "Explicit content annotation results.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation" }, "objectAnnotations": { "description": "Object tracking results.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ObjectTrackingAnnotation" } } }, "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" }, "GoogleCloudVideointelligenceV1p3beta1_LabelFrame": { "id": "GoogleCloudVideointelligenceV1p3beta1_LabelFrame", "description": "Video frame level annotation results for label detection.", "type": "object", "properties": { "timeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string" }, "confidence": { "format": "float", "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number" } } }, "GoogleRpc_Status": { "properties": { "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" }, "code": { "format": "int32", "description": "The status code, which should be an enum value of google.rpc.Code.", "type": "integer" }, "details": { "items": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } }, "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "type": "array" } }, "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", "id": "GoogleRpc_Status" }, "GoogleCloudVideointelligenceV1beta2_LabelFrame": { "properties": { "timeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string" }, "confidence": { "format": "float", "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number" } }, "description": "Video frame level annotation results for label detection.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_LabelFrame" }, "GoogleCloudVideointelligenceV1_DetectedLandmark": { "properties": { "confidence": { "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number", "format": "float" }, "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.", "$ref": "GoogleCloudVideointelligenceV1_NormalizedVertex" }, "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" } }, "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "id": "GoogleCloudVideointelligenceV1_DetectedLandmark" }, "GoogleCloudVideointelligenceV1beta2_TextAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_TextAnnotation", "properties": { "text": { "description": "The detected text.", "type": "string" }, "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_TextSegment" }, "description": "All video segments where OCR detected text appears.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" } }, "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" }, "GoogleCloudVideointelligenceV1beta2_TimestampedObject": { "id": "GoogleCloudVideointelligenceV1beta2_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": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute" }, "description": "Optional. The attributes of the object in the bounding box.", "type": "array" }, "normalizedBoundingBox": { "description": "Normalized Bounding box in a frame, where the object is located.", "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox" }, "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedLandmark" } } }, "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object" }, "GoogleCloudVideointelligenceV1_VideoAnnotationResults": { "id": "GoogleCloudVideointelligenceV1_VideoAnnotationResults", "properties": { "segmentPresenceLabelAnnotations": { "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_FaceDetectionAnnotation" } }, "segmentLabelAnnotations": { "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "faceAnnotations": { "description": "Deprecated. Please use `face_detection_annotations` instead.", "type": "array", "deprecated": true, "items": { "$ref": "GoogleCloudVideointelligenceV1_FaceAnnotation" } }, "segment": { "description": "Video segment on which the annotation is run.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" }, "shotAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" }, "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array" }, "shotLabelAnnotations": { "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "frameLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" }, "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array" }, "objectAnnotations": { "description": "Annotations for list of objects detected and tracked in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation" } }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_PersonDetectionAnnotation" } }, "speechTranscriptions": { "items": { "$ref": "GoogleCloudVideointelligenceV1_SpeechTranscription" }, "description": "Speech transcription.", "type": "array" }, "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": { "$ref": "GoogleCloudVideointelligenceV1_TextAnnotation" } }, "explicitAnnotation": { "description": "Explicit content annotation.", "$ref": "GoogleCloudVideointelligenceV1_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": { "$ref": "GoogleCloudVideointelligenceV1_LabelAnnotation" } }, "logoRecognitionAnnotations": { "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation" } }, "error": { "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail.", "$ref": "GoogleRpc_Status" } }, "description": "Annotation results for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation": { "properties": { "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelSegment" } }, "entity": { "description": "Detected entity.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity" }, "categoryEntities": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity" }, "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" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_LabelFrame" }, "description": "All video frames where a label was detected.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" } }, "description": "Label annotation.", "type": "object", "id": "GoogleCloudVideointelligenceV1p3beta1_LabelAnnotation" }, "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute": { "id": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute", "description": "A generic detected attribute represented by name in string format.", "type": "object", "properties": { "confidence": { "description": "Detected attribute confidence. Range [0, 1].", "type": "number", "format": "float" }, "value": { "description": "Text value of the detection result. For example, the value for \"HairColor\" can be \"black\", \"blonde\", etc.", "type": "string" }, "name": { "description": "The name of the attribute, for example, glasses, dark_glasses, mouth_open. A full list of supported type names will be provided in the document.", "type": "string" } } }, "GoogleCloudVideointelligenceV1beta2_VideoContext": { "description": "Video context and/or feature-specific parameters.", "type": "object", "properties": { "shotChangeDetectionConfig": { "description": "Config for SHOT_CHANGE_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1beta2_ShotChangeDetectionConfig" }, "speechTranscriptionConfig": { "description": "Config for SPEECH_TRANSCRIPTION.", "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechTranscriptionConfig" }, "textDetectionConfig": { "description": "Config for TEXT_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1beta2_TextDetectionConfig" }, "labelDetectionConfig": { "description": "Config for LABEL_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1beta2_LabelDetectionConfig" }, "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" }, "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" }, "objectTrackingConfig": { "description": "Config for OBJECT_TRACKING.", "$ref": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingConfig" }, "explicitContentDetectionConfig": { "description": "Config for EXPLICIT_CONTENT_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1beta2_ExplicitContentDetectionConfig" }, "faceDetectionConfig": { "description": "Config for FACE_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1beta2_FaceDetectionConfig" }, "personDetectionConfig": { "description": "Config for PERSON_DETECTION.", "$ref": "GoogleCloudVideointelligenceV1beta2_PersonDetectionConfig" } }, "id": "GoogleCloudVideointelligenceV1beta2_VideoContext" }, "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation": { "id": "GoogleCloudVideointelligenceV1_ObjectTrackingAnnotation", "properties": { "entity": { "description": "Entity to specify the object category that this track is labeled as.", "$ref": "GoogleCloudVideointelligenceV1_Entity" }, "confidence": { "description": "Object category's labeling confidence of this track.", "type": "number", "format": "float" }, "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1_ObjectTrackingFrame" }, "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" }, "version": { "description": "Feature version.", "type": "string" }, "segment": { "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" } }, "description": "Annotations corresponding to one tracked object.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_TextDetectionConfig": { "id": "GoogleCloudVideointelligenceV1beta2_TextDetectionConfig", "properties": { "languageHints": { "description": "Language hint can be specified if the language to be detected is known a priori. It can increase the accuracy of the detection. Language hint must be language code in BCP-47 format. Automatic language detection is performed if no hint is provided.", "type": "array", "items": { "type": "string" } }, "model": { "description": "Model to use for text detection. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" } }, "description": "Config for TEXT_DETECTION.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_FaceSegment": { "id": "GoogleCloudVideointelligenceV1p3beta1_FaceSegment", "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" } }, "description": "Video segment level annotation results for face detection.", "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": { "description": "Bounding polygon of the detected text for this frame.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly" }, "timeOffset": { "description": "Timestamp of this frame.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1beta2_FaceSegment": { "id": "GoogleCloudVideointelligenceV1beta2_FaceSegment", "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" } }, "description": "Video segment level annotation results for face detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_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" }, "updateTime": { "description": "Time of the most recent update.", "type": "string", "format": "google-datetime" }, "feature": { "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "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." ], "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ] }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_ExportToOutputUriStatus" }, "progressPercent": { "format": "int32", "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer" }, "segment": { "description": "Specifies which segment is being tracked if the request contains more than one segment.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "startTime": { "description": "Time when the request was received.", "type": "string", "format": "google-datetime" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationProgress" }, "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute": { "properties": { "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" }, "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" } }, "description": "A generic detected attribute represented by name in string format.", "type": "object", "id": "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute" }, "GoogleCloudVideointelligenceV1p3beta1_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", "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ], "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] } }, "id": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentFrame" }, "GoogleCloudVideointelligenceV1p3beta1_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.", "type": "string", "readOnly": true }, "alternatives": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative" }, "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_SpeechTranscription" }, "GoogleCloudVideointelligenceV1_NormalizedVertex": { "id": "GoogleCloudVideointelligenceV1_NormalizedVertex", "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "format": "float", "description": "Y coordinate.", "type": "number" } }, "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation": { "id": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation", "description": "Label annotation.", "type": "object", "properties": { "entity": { "description": "Detected entity.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity" }, "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelSegment" }, "description": "All video segments where a label was detected.", "type": "array" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelFrame" }, "description": "All video frames where a label was detected.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" }, "categoryEntities": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity" }, "description": "Common categories for the detected entity. For example, when the label is `Terrier`, the category is likely `dog`. And in some cases there might be more than one categories e.g., `Terrier` could also be a `pet`.", "type": "array" } } }, "GoogleCloudVideointelligenceV1_FaceAnnotation": { "description": "Deprecated. No effect.", "type": "object", "deprecated": true, "properties": { "thumbnail": { "format": "byte", "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1_FaceFrame" }, "description": "All video frames where a face was detected.", "type": "array" }, "segments": { "description": "All video segments where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_FaceSegment" } } }, "id": "GoogleCloudVideointelligenceV1_FaceAnnotation" }, "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults": { "description": "Annotation results for a single video.", "type": "object", "properties": { "logoRecognitionAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LogoRecognitionAnnotation" }, "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array" }, "error": { "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail.", "$ref": "GoogleRpc_Status" }, "shotPresenceLabelAnnotations": { "description": "Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical `shot_label_annotations`, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" } }, "explicitAnnotation": { "description": "Explicit content annotation.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation" }, "objectAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation" }, "description": "Annotations for list of objects detected and tracked in video.", "type": "array" }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_PersonDetectionAnnotation" } }, "speechTranscriptions": { "description": "Speech transcription.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_SpeechTranscription" } }, "textAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation" }, "description": "OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.", "type": "array" }, "segmentLabelAnnotations": { "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" } }, "faceAnnotations": { "description": "Deprecated. Please use `face_detection_annotations` instead.", "type": "array", "deprecated": true, "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_FaceAnnotation" } }, "segment": { "description": "Video segment on which the annotation is run.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "shotAnnotations": { "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" } }, "shotLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" }, "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array" }, "frameLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" }, "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_FaceDetectionAnnotation" } }, "segmentPresenceLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation" }, "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults" }, "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription": { "id": "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription", "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object", "properties": { "alternatives": { "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_SpeechRecognitionAlternative" } }, "languageCode": { "readOnly": true, "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.", "type": "string" } } }, "GoogleCloudVideointelligenceV1_FaceDetectionAnnotation": { "properties": { "tracks": { "items": { "$ref": "GoogleCloudVideointelligenceV1_Track" }, "description": "The face tracks with attributes.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" }, "thumbnail": { "format": "byte", "description": "The thumbnail of a person's face.", "type": "string" } }, "description": "Face detection annotation.", "type": "object", "id": "GoogleCloudVideointelligenceV1_FaceDetectionAnnotation" }, "GoogleCloudVideointelligenceV1_ExportToOutputUriStatus": { "id": "GoogleCloudVideointelligenceV1_ExportToOutputUriStatus", "properties": { "status": { "readOnly": true, "description": "Output only. Only set if state is FAILED.", "$ref": "GoogleRpc_Status" }, "state": { "description": "Output only. State of the `output_uri` export.", "type": "string", "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ], "readOnly": true } }, "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_ObjectTrackingConfig": { "id": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingConfig", "properties": { "model": { "description": "Model to use for object tracking. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" } }, "description": "Config for OBJECT_TRACKING.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox": { "id": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox", "properties": { "top": { "description": "Top Y coordinate.", "type": "number", "format": "float" }, "left": { "description": "Left X coordinate.", "type": "number", "format": "float" }, "bottom": { "description": "Bottom Y coordinate.", "type": "number", "format": "float" }, "right": { "format": "float", "description": "Right X coordinate.", "type": "number" } }, "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_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": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox" } }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_FaceFrame", "description": "Deprecated. No effect.", "type": "object", "deprecated": true }, "GoogleCloudVideointelligenceV1beta2_FaceFrame": { "description": "Deprecated. No effect.", "type": "object", "deprecated": true, "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "normalizedBoundingBoxes": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox" }, "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" } }, "id": "GoogleCloudVideointelligenceV1beta2_FaceFrame" }, "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark": { "properties": { "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" }, "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.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex" } }, "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "id": "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark" }, "GoogleCloudVideointelligenceV1_ObjectTrackingFrame": { "id": "GoogleCloudVideointelligenceV1_ObjectTrackingFrame", "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object", "properties": { "normalizedBoundingBox": { "description": "The normalized bounding box location of this object track for the frame.", "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox" }, "timeOffset": { "description": "The timestamp of the frame in microseconds.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject": { "id": "GoogleCloudVideointelligenceV1p1beta1_TimestampedObject", "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object", "properties": { "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedLandmark" } }, "normalizedBoundingBox": { "description": "Normalized Bounding box in a frame, where the object is located.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox" }, "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": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_DetectedAttribute" } } } }, "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly": { "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingPoly", "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex" } } }, "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" }, "GoogleCloudVideointelligenceV1p3beta1_VideoSegment": { "id": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment", "description": "Video segment.", "type": "object", "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": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string" } } }, "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation": { "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": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame" } }, "version": { "description": "Feature version.", "type": "string" }, "segment": { "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "entity": { "description": "Entity to specify the object category that this track is labeled as.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_Entity" }, "confidence": { "format": "float", "description": "Object category's labeling confidence of this track.", "type": "number" }, "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" } }, "description": "Annotations corresponding to one tracked object.", "type": "object", "id": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation" }, "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack": { "id": "GoogleCloudVideointelligenceV1p3beta1_CelebrityTrack", "description": "The annotation result of a celebrity face track. RecognizedCelebrity field could be empty if the face track does not have any matched celebrities.", "type": "object", "properties": { "celebrities": { "description": "Top N match of the celebrities for the face in this track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity" } }, "faceTrack": { "description": "A track of a person's face.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track" } } }, "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly": { "description": "Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trigonometric calculations for location of the box.", "type": "object", "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_NormalizedVertex" } } }, "id": "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly" }, "GoogleCloudVideointelligenceV1p1beta1_Entity": { "id": "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" } }, "description": "Detected entity from video analysis.", "type": "object" }, "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": { "format": "float", "description": "Right X coordinate.", "type": "number" }, "bottom": { "format": "float", "description": "Bottom Y coordinate.", "type": "number" } }, "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox" }, "GoogleCloudVideointelligenceV1beta2_SpeechTranscriptionConfig": { "id": "GoogleCloudVideointelligenceV1beta2_SpeechTranscriptionConfig", "properties": { "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" }, "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" }, "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" }, "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" }, "speechContexts": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechContext" }, "description": "Optional. A means to provide context to assist the speech recognition.", "type": "array" }, "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" }, "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" } }, "diarizationSpeakerCount": { "format": "int32", "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" }, "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" }, "audioOutputUriPrefix": { "description": "Optional. Legacy field. This field must be a Cloud Storage URI prefix. (e.g., `gs://bucket/path/`).", "type": "string" } }, "description": "Config for SPEECH_TRANSCRIPTION.", "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": { "timeOffset": { "format": "google-duration", "description": "Timestamp of this frame.", "type": "string" }, "rotatedBoundingBox": { "description": "Bounding polygon of the detected text for this frame.", "$ref": "GoogleCloudVideointelligenceV1_NormalizedBoundingPoly" } } }, "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity": { "description": "The recognized celebrity with confidence score.", "type": "object", "properties": { "celebrity": { "description": "The recognized celebrity.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_Celebrity" }, "confidence": { "format": "float", "description": "Recognition confidence. Range [0, 1].", "type": "number" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_RecognizedCelebrity" }, "GoogleCloudVideointelligenceV1p1beta1_LabelFrame": { "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "confidence": { "format": "float", "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number" } }, "description": "Video frame level annotation results for label detection.", "type": "object", "id": "GoogleCloudVideointelligenceV1p1beta1_LabelFrame" }, "GoogleCloudVideointelligenceV1p3beta1_FaceAnnotation": { "properties": { "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceFrame" }, "description": "All video frames where a face was detected.", "type": "array" }, "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_FaceSegment" }, "description": "All video segments where a face was detected.", "type": "array" }, "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_FaceAnnotation", "description": "Deprecated. No effect.", "type": "object", "deprecated": true }, "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress": { "description": "Annotation progress for a single video.", "type": "object", "properties": { "startTime": { "description": "Time when the request was received.", "type": "string", "format": "google-datetime" }, "progressPercent": { "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer", "format": "int32" }, "segment": { "description": "Specifies which segment is being tracked if the request contains more than one segment.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "updateTime": { "format": "google-datetime", "description": "Time of the most recent update.", "type": "string" }, "feature": { "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "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." ], "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" ] }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExportToOutputUriStatus" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress" }, "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative": { "properties": { "confidence": { "format": "float", "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "type": "number", "readOnly": true }, "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "words": { "items": { "$ref": "GoogleCloudVideointelligenceV1_WordInfo" }, "readOnly": true, "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.", "type": "array" } }, "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object", "id": "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative" }, "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex": { "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", "properties": { "x": { "format": "float", "description": "X coordinate.", "type": "number" }, "y": { "format": "float", "description": "Y coordinate.", "type": "number" } } }, "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative": { "id": "GoogleCloudVideointelligenceV1p3beta1_SpeechRecognitionAlternative", "properties": { "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "confidence": { "format": "float", "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.", "type": "number", "readOnly": true }, "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.", "type": "array", "readOnly": true, "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_WordInfo" } } }, "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object" }, "GoogleCloudVideointelligenceV1_PersonDetectionAnnotation": { "properties": { "tracks": { "items": { "$ref": "GoogleCloudVideointelligenceV1_Track" }, "description": "The detected tracks of a person.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" } }, "description": "Person detection annotation per video.", "type": "object", "id": "GoogleCloudVideointelligenceV1_PersonDetectionAnnotation" }, "GoogleCloudVideointelligenceV1p1beta1_FaceDetectionAnnotation": { "properties": { "thumbnail": { "format": "byte", "description": "The thumbnail of a person's face.", "type": "string" }, "tracks": { "description": "The face tracks with attributes.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Track" } }, "version": { "description": "Feature version.", "type": "string" } }, "description": "Face detection annotation.", "type": "object", "id": "GoogleCloudVideointelligenceV1p1beta1_FaceDetectionAnnotation" }, "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoResponse": { "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "properties": { "annotationResults": { "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoResponse" }, "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox": { "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox", "properties": { "top": { "format": "float", "description": "Top Y coordinate.", "type": "number" }, "left": { "description": "Left X coordinate.", "type": "number", "format": "float" }, "bottom": { "description": "Bottom Y coordinate.", "type": "number", "format": "float" }, "right": { "description": "Right X coordinate.", "type": "number", "format": "float" } }, "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object" }, "GoogleCloudVideointelligenceV1_VideoSegment": { "properties": { "startTimeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string" }, "endTimeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).", "type": "string" } }, "description": "Video segment.", "type": "object", "id": "GoogleCloudVideointelligenceV1_VideoSegment" }, "GoogleCloudVideointelligenceV1p2beta1_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.", "type": "string", "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "readOnly": true, "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ] }, "status": { "readOnly": true, "description": "Output only. Only set if state is FAILED.", "$ref": "GoogleRpc_Status" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_ExportToOutputUriStatus" }, "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly": { "properties": { "vertices": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex" }, "description": "Normalized vertices of the bounding polygon.", "type": "array" } }, "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", "id": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingPoly" }, "GoogleCloudVideointelligenceV1beta2_FaceDetectionConfig": { "description": "Config for FACE_DETECTION.", "type": "object", "properties": { "model": { "description": "Model to use for face detection. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" }, "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" }, "includeBoundingBoxes": { "description": "Whether bounding boxes are included in the face annotation output.", "type": "boolean" } }, "id": "GoogleCloudVideointelligenceV1beta2_FaceDetectionConfig" }, "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox": { "id": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox", "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object", "properties": { "right": { "format": "float", "description": "Right X coordinate.", "type": "number" }, "bottom": { "format": "float", "description": "Bottom Y coordinate.", "type": "number" }, "left": { "description": "Left X coordinate.", "type": "number", "format": "float" }, "top": { "format": "float", "description": "Top Y coordinate.", "type": "number" } } }, "GoogleCloudVideointelligenceV1p2beta1_Track": { "properties": { "segment": { "description": "Video segment of a track.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "confidence": { "format": "float", "description": "Optional. The confidence score of the tracked object.", "type": "number" }, "timestampedObjects": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject" }, "description": "The object with timestamp and attributes per frame in the track.", "type": "array" }, "attributes": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute" }, "description": "Optional. Attributes in the track level.", "type": "array" } }, "description": "A track of an object instance.", "type": "object", "id": "GoogleCloudVideointelligenceV1p2beta1_Track" }, "GoogleCloudVideointelligenceV1beta2_SpeechContext": { "id": "GoogleCloudVideointelligenceV1beta2_SpeechContext", "properties": { "phrases": { "items": { "type": "string" }, "description": "Optional. A list of strings containing words and phrases \"hints\" so that the speech recognition is more likely to recognize them. This can be used to improve the accuracy for specific words and phrases, for example, if specific commands are typically spoken by the user. This can also be used to add additional words to the vocabulary of the recognizer. See [usage limits](https://cloud.google.com/speech/limits#content).", "type": "array" } }, "description": "Provides \"hints\" to the speech recognizer to favor specific words and phrases in the results.", "type": "object" }, "GoogleCloudVideointelligenceV1_Entity": { "id": "GoogleCloudVideointelligenceV1_Entity", "properties": { "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" }, "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" } }, "description": "Detected entity from video analysis.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_LabelSegment": { "properties": { "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "confidence": { "format": "float", "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number" } }, "description": "Video segment level annotation results for label detection.", "type": "object", "id": "GoogleCloudVideointelligenceV1p1beta1_LabelSegment" }, "GoogleCloudVideointelligenceV1beta2_TextSegment": { "properties": { "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_TextFrame" }, "description": "Information related to the frames where OCR detected text appears.", "type": "array" }, "segment": { "description": "Video segment where a text snippet was detected.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" }, "confidence": { "format": "float", "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number" } }, "description": "Video segment level annotation results for text detection.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_TextSegment" }, "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation", "description": "Annotations corresponding to one tracked object.", "type": "object", "properties": { "confidence": { "description": "Object category's labeling confidence of this track.", "type": "number", "format": "float" }, "entity": { "description": "Entity to specify the object category that this track is labeled as.", "$ref": "GoogleCloudVideointelligenceV1beta2_Entity" }, "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" }, "segment": { "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" }, "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": { "$ref": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1beta2_ShotChangeDetectionConfig": { "properties": { "model": { "description": "Model to use for shot change detection. Supported values: \"builtin/stable\" (the default if unset), \"builtin/latest\", and \"builtin/legacy\".", "type": "string" } }, "description": "Config for SHOT_CHANGE_DETECTION.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_ShotChangeDetectionConfig" }, "GoogleLongrunning_Operation": { "id": "GoogleLongrunning_Operation", "properties": { "error": { "description": "The error result of the operation in case of failure or cancellation.", "$ref": "GoogleRpc_Status" }, "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." } }, "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" }, "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" } }, "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_FaceFrame": { "deprecated": true, "description": "Deprecated. No effect.", "type": "object", "id": "GoogleCloudVideointelligenceV1p2beta1_FaceFrame", "properties": { "normalizedBoundingBoxes": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox" }, "description": "Normalized Bounding boxes in a frame. There can be more than one boxes if the same face is detected in multiple locations within the current frame.", "type": "array" }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" } } }, "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation", "description": "Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.", "type": "object", "properties": { "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex": { "properties": { "x": { "format": "float", "description": "X coordinate.", "type": "number" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "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", "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex" }, "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation": { "properties": { "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentFrame" }, "description": "All video frames where explicit content was detected.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" } }, "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", "id": "GoogleCloudVideointelligenceV1p1beta1_ExplicitContentAnnotation" }, "GoogleCloudVideointelligenceV1p3beta1_WordInfo": { "properties": { "confidence": { "readOnly": true, "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.", "type": "number", "format": "float" }, "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": { "format": "int32", "readOnly": true, "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.", "type": "integer" }, "speakerLabel": { "readOnly": true, "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.", "type": "string" }, "startTime": { "format": "google-duration", "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" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" } }, "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", "id": "GoogleCloudVideointelligenceV1p3beta1_WordInfo" }, "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation": { "id": "GoogleCloudVideointelligenceV1p3beta1_LogoRecognitionAnnotation", "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object", "properties": { "entity": { "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_Entity" }, "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" } } } }, "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingAnnotation", "description": "Annotations corresponding to one tracked object.", "type": "object", "properties": { "confidence": { "description": "Object category's labeling confidence of this track.", "type": "number", "format": "float" }, "entity": { "description": "Entity to specify the object category that this track is labeled as.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity" }, "trackId": { "description": "Streaming mode ONLY. In streaming mode, we do not know the end time of a tracked object before it is completed. Hence, there is no VideoSegment info returned. Instead, we provide a unique identifiable integer track_id so that the customers can correlate the results of the ongoing ObjectTrackAnnotation of the same track_id over time.", "type": "string", "format": "int64" }, "segment": { "description": "Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame" }, "description": "Information corresponding to all frames where this object track appears. Non-streaming batch mode: it may be one or multiple ObjectTrackingFrame messages in frames. Streaming mode: it can only be one ObjectTrackingFrame message in frames.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1_ExplicitContentFrame": { "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "pornographyLikelihood": { "description": "Likelihood of the pornography content..", "type": "string", "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ], "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] } }, "description": "Video frame level annotation results for explicit content.", "type": "object", "id": "GoogleCloudVideointelligenceV1_ExplicitContentFrame" }, "GoogleCloudVideointelligenceV1beta2_TextFrame": { "id": "GoogleCloudVideointelligenceV1beta2_TextFrame", "properties": { "timeOffset": { "format": "google-duration", "description": "Timestamp of this frame.", "type": "string" }, "rotatedBoundingBox": { "description": "Bounding polygon of the detected text for this frame.", "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly" } }, "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_FaceSegment": { "id": "GoogleCloudVideointelligenceV1p2beta1_FaceSegment", "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" } }, "description": "Video segment level annotation results for face detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark": { "id": "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark", "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "properties": { "confidence": { "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number", "format": "float" }, "point": { "description": "The 2D point of the detected landmark using the normalized image coordinate system. The normalized coordinates have the range from 0 to 1.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedVertex" }, "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" } } }, "GoogleCloudVideointelligenceV1beta2_FaceDetectionAnnotation": { "description": "Face detection annotation.", "type": "object", "properties": { "thumbnail": { "format": "byte", "description": "The thumbnail of a person's face.", "type": "string" }, "tracks": { "description": "The face tracks with attributes.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_Track" } }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1beta2_FaceDetectionAnnotation" }, "GoogleCloudVideointelligenceV1beta2_Track": { "description": "A track of an object instance.", "type": "object", "properties": { "attributes": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_DetectedAttribute" }, "description": "Optional. Attributes in the track level.", "type": "array" }, "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" }, "confidence": { "description": "Optional. The confidence score of the tracked object.", "type": "number", "format": "float" } }, "id": "GoogleCloudVideointelligenceV1beta2_Track" }, "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress": { "id": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress", "properties": { "updateTime": { "format": "google-datetime", "description": "Time of the most recent update.", "type": "string" }, "feature": { "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "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." ], "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ] }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_ExportToOutputUriStatus" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "progressPercent": { "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer", "format": "int32" }, "segment": { "description": "Specifies which segment is being tracked if the request contains more than one segment.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "startTime": { "format": "google-datetime", "description": "Time when the request was received.", "type": "string" } }, "description": "Annotation progress for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame": { "description": "Video frame level annotation results for explicit content.", "type": "object", "properties": { "timeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string" }, "pornographyLikelihood": { "description": "Likelihood of the pornography content..", "type": "string", "enumDescriptions": [ "Unspecified likelihood.", "Very unlikely.", "Unlikely.", "Possible.", "Likely.", "Very likely." ], "enum": [ "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] } }, "id": "GoogleCloudVideointelligenceV1beta2_ExplicitContentFrame" }, "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": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoAnnotationResults" } } }, "id": "GoogleCloudVideointelligenceV1p1beta1_AnnotateVideoResponse" }, "GoogleCloudVideointelligenceV1p2beta1_LabelFrame": { "id": "GoogleCloudVideointelligenceV1p2beta1_LabelFrame", "description": "Video frame level annotation results for label detection.", "type": "object", "properties": { "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string", "format": "google-duration" }, "confidence": { "format": "float", "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number" } } }, "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly": { "description": "Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trigonometric calculations for location of the box.", "type": "object", "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedVertex" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly" }, "GoogleCloudVideointelligenceV1p2beta1_PersonDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1p2beta1_PersonDetectionAnnotation", "properties": { "tracks": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_Track" }, "description": "The detected tracks of a person.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" } }, "description": "Person detection annotation per video.", "type": "object" }, "GoogleCloudVideointelligenceV1_ExplicitContentAnnotation": { "description": "Explicit content annotation (based on per-frame visual signals only). If no explicit content has been detected in a frame, no annotations are present for that frame.", "type": "object", "properties": { "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_ExplicitContentFrame" } }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1_ExplicitContentAnnotation" }, "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.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox" }, "timeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this object.", "type": "string", "format": "google-duration" }, "attributes": { "description": "Optional. The attributes of the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_DetectedAttribute" } }, "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_DetectedLandmark" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_TimestampedObject" }, "GoogleCloudVideointelligenceV1beta2_Entity": { "properties": { "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" }, "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" }, "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" } }, "description": "Detected entity from video analysis.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_Entity" }, "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame": { "properties": { "timeOffset": { "format": "google-duration", "description": "The timestamp of the frame in microseconds.", "type": "string" }, "normalizedBoundingBox": { "description": "The normalized bounding box location of this object track for the frame.", "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingBox" } }, "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingFrame" }, "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoProgress": { "properties": { "annotationProgress": { "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationProgress" } } }, "description": "Video annotation progress. Included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "id": "GoogleCloudVideointelligenceV1p2beta1_AnnotateVideoProgress" }, "GoogleCloudVideointelligenceV1beta2_SpeechTranscription": { "id": "GoogleCloudVideointelligenceV1beta2_SpeechTranscription", "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object", "properties": { "languageCode": { "readOnly": true, "description": "Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag of the language in this result. This language code was detected to have the most likelihood of being spoken in the audio.", "type": "string" }, "alternatives": { "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative" } } } }, "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation": { "properties": { "entity": { "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as.", "$ref": "GoogleCloudVideointelligenceV1beta2_Entity" }, "tracks": { "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_Track" } }, "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" }, "description": "All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.", "type": "array" } }, "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation" }, "GoogleCloudVideointelligenceV1p2beta1_FaceAnnotation": { "description": "Deprecated. No effect.", "type": "object", "deprecated": true, "properties": { "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" }, "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_FaceSegment" }, "description": "All video segments where a face was detected.", "type": "array" }, "frames": { "description": "All video frames where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_FaceFrame" } } }, "id": "GoogleCloudVideointelligenceV1p2beta1_FaceAnnotation" }, "GoogleCloudVideointelligenceV1_NormalizedBoundingBox": { "properties": { "bottom": { "format": "float", "description": "Bottom Y coordinate.", "type": "number" }, "right": { "format": "float", "description": "Right X coordinate.", "type": "number" }, "top": { "description": "Top Y coordinate.", "type": "number", "format": "float" }, "left": { "format": "float", "description": "Left X coordinate.", "type": "number" } }, "description": "Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].", "type": "object", "id": "GoogleCloudVideointelligenceV1_NormalizedBoundingBox" }, "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1p3beta1_FaceDetectionAnnotation", "description": "Face detection annotation.", "type": "object", "properties": { "thumbnail": { "format": "byte", "description": "The thumbnail of a person's face.", "type": "string" }, "tracks": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track" }, "description": "The face tracks with attributes.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1beta2_VideoSegment": { "id": "GoogleCloudVideointelligenceV1beta2_VideoSegment", "properties": { "startTimeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string" }, "endTimeOffset": { "description": "Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).", "type": "string", "format": "google-duration" } }, "description": "Video segment.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoResponse": { "properties": { "annotationResults": { "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationResults" } } }, "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "id": "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoResponse" }, "GoogleCloudVideointelligenceV1p3beta1_FaceFrame": { "description": "Deprecated. No effect.", "type": "object", "deprecated": true, "properties": { "timeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string" }, "normalizedBoundingBoxes": { "description": "Normalized Bounding boxes in a frame. There can be more than one boxes if the same face is detected in multiple locations within the current frame.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_NormalizedBoundingBox" } } }, "id": "GoogleCloudVideointelligenceV1p3beta1_FaceFrame" }, "GoogleCloudVideointelligenceV1p1beta1_FaceSegment": { "id": "GoogleCloudVideointelligenceV1p1beta1_FaceSegment", "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" } }, "description": "Video segment level annotation results for face detection.", "type": "object" }, "GoogleCloudVideointelligenceV1beta2_PersonDetectionConfig": { "id": "GoogleCloudVideointelligenceV1beta2_PersonDetectionConfig", "description": "Config for PERSON_DETECTION.", "type": "object", "properties": { "includeAttributes": { "description": "Whether to enable person attributes detection, such as cloth color (black, blue, etc), type (coat, dress, etc), pattern (plain, floral, etc), hair, etc. Ignored if 'include_bounding_boxes' is set to false.", "type": "boolean" }, "includeBoundingBoxes": { "description": "Whether bounding boxes are included in the person detection annotation output.", "type": "boolean" }, "includePoseLandmarks": { "description": "Whether to enable pose landmarks detection. Ignored if 'include_bounding_boxes' is set to false.", "type": "boolean" } } }, "GoogleCloudVideointelligenceV1_LabelSegment": { "description": "Video segment level annotation results for label detection.", "type": "object", "properties": { "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" }, "confidence": { "format": "float", "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number" } }, "id": "GoogleCloudVideointelligenceV1_LabelSegment" }, "GoogleCloudVideointelligenceV1p3beta1_ExportToOutputUriStatus": { "properties": { "state": { "readOnly": true, "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ], "description": "Output only. State of the `output_uri` export.", "type": "string", "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ] }, "status": { "readOnly": true, "description": "Output only. Only set if state is FAILED.", "$ref": "GoogleRpc_Status" } }, "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object", "id": "GoogleCloudVideointelligenceV1p3beta1_ExportToOutputUriStatus" }, "GoogleCloudVideointelligenceV1p2beta1_TextSegment": { "id": "GoogleCloudVideointelligenceV1p2beta1_TextSegment", "description": "Video segment level annotation results for text detection.", "type": "object", "properties": { "segment": { "description": "Video segment where a text snippet was detected.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "confidence": { "format": "float", "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextFrame" }, "description": "Information related to the frames where OCR detected text appears.", "type": "array" } } }, "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults": { "description": "Annotation results for a single video.", "type": "object", "properties": { "shotPresenceLabelAnnotations": { "description": "Presence label annotations on shot level. There is exactly one element for each unique label. Compared to the existing topical `shot_label_annotations`, this field presents more fine-grained, shot-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" } }, "error": { "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail.", "$ref": "GoogleRpc_Status" }, "logoRecognitionAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LogoRecognitionAnnotation" }, "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array" }, "textAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_TextAnnotation" }, "description": "OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.", "type": "array" }, "speechTranscriptions": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_SpeechTranscription" }, "description": "Speech transcription.", "type": "array" }, "personDetectionAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_PersonDetectionAnnotation" }, "description": "Person detection annotations.", "type": "array" }, "objectAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_ObjectTrackingAnnotation" }, "description": "Annotations for list of objects detected and tracked in video.", "type": "array" }, "explicitAnnotation": { "description": "Explicit content annotation.", "$ref": "GoogleCloudVideointelligenceV1beta2_ExplicitContentAnnotation" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_FaceDetectionAnnotation" } }, "shotLabelAnnotations": { "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" } }, "frameLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" }, "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array" }, "segment": { "description": "Video segment on which the annotation is run.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" }, "shotAnnotations": { "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" } }, "faceAnnotations": { "deprecated": true, "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_FaceAnnotation" }, "description": "Deprecated. Please use `face_detection_annotations` instead.", "type": "array" }, "segmentLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" }, "description": "Topical label annotations on video level or user-specified segment level. There is exactly one element for each unique label.", "type": "array" }, "segmentPresenceLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_LabelAnnotation" }, "description": "Presence label annotations on video level or user-specified segment level. There is exactly one element for each unique label. Compared to the existing topical `segment_label_annotations`, this field presents more fine-grained, segment-level labels detected in video content and is made available only when the client sets `LabelDetectionConfig.model` to \"builtin/latest\" in the request.", "type": "array" } }, "id": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationResults" }, "GoogleCloudVideointelligenceV1_DetectedAttribute": { "properties": { "name": { "description": "The name of the attribute, for example, glasses, dark_glasses, mouth_open. A full list of supported type names will be provided in the document.", "type": "string" }, "confidence": { "description": "Detected attribute confidence. Range [0, 1].", "type": "number", "format": "float" }, "value": { "description": "Text value of the detection result. For example, the value for \"HairColor\" can be \"black\", \"blonde\", etc.", "type": "string" } }, "description": "A generic detected attribute represented by name in string format.", "type": "object", "id": "GoogleCloudVideointelligenceV1_DetectedAttribute" }, "GoogleCloudVideointelligenceV1p3beta1_TextSegment": { "properties": { "frames": { "description": "Information related to the frames where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_TextFrame" } }, "segment": { "description": "Video segment where a text snippet was detected.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "confidence": { "format": "float", "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number" } }, "description": "Video segment level annotation results for text detection.", "type": "object", "id": "GoogleCloudVideointelligenceV1p3beta1_TextSegment" }, "GoogleCloudVideointelligenceV1beta2_ExplicitContentDetectionConfig": { "description": "Config for EXPLICIT_CONTENT_DETECTION.", "type": "object", "properties": { "model": { "description": "Model to use for explicit content detection. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\".", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1beta2_ExplicitContentDetectionConfig" }, "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly": { "description": "Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trigonometric calculations for location of the box.", "type": "object", "properties": { "vertices": { "description": "Normalized vertices of the bounding polygon.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex" } } }, "id": "GoogleCloudVideointelligenceV1beta2_NormalizedBoundingPoly" }, "GoogleCloudVideointelligenceV1beta2_FaceAnnotation": { "id": "GoogleCloudVideointelligenceV1beta2_FaceAnnotation", "properties": { "segments": { "description": "All video segments where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_FaceSegment" } }, "frames": { "description": "All video frames where a face was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_FaceFrame" } }, "thumbnail": { "description": "Thumbnail of a representative face view (in JPEG format).", "type": "string", "format": "byte" } }, "deprecated": true, "description": "Deprecated. No effect.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame": { "id": "GoogleCloudVideointelligenceV1p1beta1_ObjectTrackingFrame", "properties": { "normalizedBoundingBox": { "description": "The normalized bounding box location of this object track for the frame.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_NormalizedBoundingBox" }, "timeOffset": { "format": "google-duration", "description": "The timestamp of the frame in microseconds.", "type": "string" } }, "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex": { "properties": { "x": { "format": "float", "description": "X coordinate.", "type": "number" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object", "id": "GoogleCloudVideointelligenceV1p1beta1_NormalizedVertex" }, "GoogleCloudVideointelligenceV1p3beta1_LabelSegment": { "id": "GoogleCloudVideointelligenceV1p3beta1_LabelSegment", "properties": { "segment": { "description": "Video segment where a label was detected.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" } }, "description": "Video segment level annotation results for label detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_PersonDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_PersonDetectionAnnotation", "description": "Person detection annotation per video.", "type": "object", "properties": { "tracks": { "description": "The detected tracks of a person.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Track" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p1beta1_WordInfo": { "properties": { "endTime": { "format": "google-duration", "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" }, "confidence": { "readOnly": true, "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.", "type": "number", "format": "float" }, "startTime": { "format": "google-duration", "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" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" }, "speakerTag": { "format": "int32", "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.", "type": "integer", "readOnly": true }, "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.", "type": "string", "readOnly": true } }, "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", "id": "GoogleCloudVideointelligenceV1p1beta1_WordInfo" }, "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" } }, "timestampedObjects": { "description": "The object with timestamp and attributes per frame in the track.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_TimestampedObject" } }, "segment": { "description": "Video segment of a track.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoSegment" }, "confidence": { "description": "Optional. The confidence score of the tracked object.", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p2beta1_WordInfo": { "id": "GoogleCloudVideointelligenceV1p2beta1_WordInfo", "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" }, "confidence": { "readOnly": true, "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.", "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" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" }, "speakerTag": { "format": "int32", "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.", "type": "integer", "readOnly": true }, "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.", "type": "string", "readOnly": true } }, "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" }, "GoogleCloudVideointelligenceV1_AnnotateVideoResponse": { "properties": { "annotationResults": { "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoAnnotationResults" }, "description": "Annotation results for all videos specified in `AnnotateVideoRequest`.", "type": "array" } }, "description": "Video annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "id": "GoogleCloudVideointelligenceV1_AnnotateVideoResponse" }, "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_TextAnnotation", "properties": { "version": { "description": "Feature version.", "type": "string" }, "segments": { "description": "All video segments where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextSegment" } }, "text": { "description": "The detected text.", "type": "string" } }, "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" }, "GoogleCloudVideointelligenceV1_SpeechTranscription": { "id": "GoogleCloudVideointelligenceV1_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.", "type": "string", "readOnly": true }, "alternatives": { "items": { "$ref": "GoogleCloudVideointelligenceV1_SpeechRecognitionAlternative" }, "description": "May contain one or more recognition hypotheses (up to the maximum specified in `max_alternatives`). These alternatives are ordered in terms of accuracy, with the top (first) alternative being the most probable, as ranked by the recognizer.", "type": "array" } }, "description": "A speech recognition result corresponding to a portion of the audio.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_Entity": { "description": "Detected entity from video analysis.", "type": "object", "properties": { "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" }, "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" }, "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1p2beta1_Entity" }, "GoogleCloudVideointelligenceV1beta2_AnnotateVideoRequest": { "id": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoRequest", "description": "Video annotation request.", "type": "object", "properties": { "outputUri": { "description": "Optional. Location where the output (in JSON format) should be stored. Currently, only [Cloud Storage](https://cloud.google.com/storage/) URIs are supported. These must be specified in the following format: `gs://bucket-id/object-id` (other URI formats return google.rpc.Code.INVALID_ARGUMENT). For more information, see [Request URIs](https://cloud.google.com/storage/docs/request-endpoints).", "type": "string" }, "videoContext": { "description": "Additional video context and/or feature-specific parameters.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoContext" }, "features": { "description": "Required. Requested video annotation features.", "type": "array", "items": { "type": "string", "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." ], "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ] } }, "inputContent": { "format": "byte", "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" }, "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" }, "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" } } }, "GoogleCloudVideointelligenceV1beta2_NormalizedVertex": { "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "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", "id": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex" }, "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress": { "id": "GoogleCloudVideointelligenceV1beta2_VideoAnnotationProgress", "properties": { "progressPercent": { "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer", "format": "int32" }, "segment": { "description": "Specifies which segment is being tracked if the request contains more than one segment.", "$ref": "GoogleCloudVideointelligenceV1beta2_VideoSegment" }, "startTime": { "description": "Time when the request was received.", "type": "string", "format": "google-datetime" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "updateTime": { "description": "Time of the most recent update.", "type": "string", "format": "google-datetime" }, "feature": { "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "enumDescriptions": [ "Unspecified.", "Label detection. Detect objects, such as dog or flower.", "Shot change detection.", "Explicit content detection.", "Human face detection.", "Speech transcription.", "OCR text detection and tracking.", "Object detection and tracking.", "Logo detection, tracking, and recognition.", "Person detection." ], "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ] }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1beta2_ExportToOutputUriStatus" } }, "description": "Annotation progress for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_TextFrame": { "id": "GoogleCloudVideointelligenceV1p2beta1_TextFrame", "properties": { "timeOffset": { "description": "Timestamp of this frame.", "type": "string", "format": "google-duration" }, "rotatedBoundingBox": { "description": "Bounding polygon of the detected text for this frame.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingPoly" } }, "description": "Video frame level annotation results for text annotation (OCR). Contains information regarding timestamp and bounding box locations for the frames containing detected OCR text snippets.", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_Entity": { "properties": { "entityId": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "languageCode": { "description": "Language code for `description` in BCP-47 format.", "type": "string" }, "description": { "description": "Textual description, e.g., `Fixed-gear bicycle`.", "type": "string" } }, "description": "Detected entity from video analysis.", "type": "object", "id": "GoogleCloudVideointelligenceV1p3beta1_Entity" }, "GoogleCloudVideointelligenceV1p1beta1_SpeechRecognitionAlternative": { "id": "GoogleCloudVideointelligenceV1p1beta1_SpeechRecognitionAlternative", "properties": { "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "confidence": { "description": "Output only. The confidence estimate between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. This field is set only for the top alternative. This field is not guaranteed to be accurate and users should not rely on it to be always provided. The default of 0.0 is a sentinel value indicating `confidence` was not set.", "type": "number", "readOnly": true, "format": "float" }, "words": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_WordInfo" }, "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.", "type": "array", "readOnly": true } }, "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object" }, "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation": { "id": "GoogleCloudVideointelligenceV1p3beta1_PersonDetectionAnnotation", "properties": { "tracks": { "description": "The detected tracks of a person.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_Track" } }, "version": { "description": "Feature version.", "type": "string" } }, "description": "Person detection annotation per video.", "type": "object" }, "GoogleCloudVideointelligenceV1_WordInfo": { "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" }, "confidence": { "format": "float", "readOnly": true, "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.", "type": "number" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" }, "startTime": { "format": "google-duration", "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" }, "speakerTag": { "format": "int32", "readOnly": true, "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.", "type": "integer" }, "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.", "type": "string", "readOnly": true } }, "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", "id": "GoogleCloudVideointelligenceV1_WordInfo" }, "GoogleCloudVideointelligenceV1beta2_PersonDetectionAnnotation": { "description": "Person detection annotation per video.", "type": "object", "properties": { "tracks": { "description": "The detected tracks of a person.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_Track" } }, "version": { "description": "Feature version.", "type": "string" } }, "id": "GoogleCloudVideointelligenceV1beta2_PersonDetectionAnnotation" }, "GoogleCloudVideointelligenceV1beta2_DetectedLandmark": { "id": "GoogleCloudVideointelligenceV1beta2_DetectedLandmark", "description": "A generic detected landmark represented by name in string format and a 2D location.", "type": "object", "properties": { "name": { "description": "The name of this landmark, for example, left_hand, right_shoulder.", "type": "string" }, "confidence": { "format": "float", "description": "The confidence score of the detected landmark. Range [0, 1].", "type": "number" }, "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.", "$ref": "GoogleCloudVideointelligenceV1beta2_NormalizedVertex" } } }, "GoogleCloudVideointelligenceV1_LabelAnnotation": { "id": "GoogleCloudVideointelligenceV1_LabelAnnotation", "properties": { "entity": { "description": "Detected entity.", "$ref": "GoogleCloudVideointelligenceV1_Entity" }, "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelSegment" } }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1_LabelFrame" }, "description": "All video frames where a label was detected.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" }, "categoryEntities": { "items": { "$ref": "GoogleCloudVideointelligenceV1_Entity" }, "description": "Common categories for the detected entity. For example, when the label is `Terrier`, the category is likely `dog`. And in some cases there might be more than one categories e.g., `Terrier` could also be a `pet`.", "type": "array" } }, "description": "Label annotation.", "type": "object" }, "GoogleCloudVideointelligenceV1_FaceSegment": { "properties": { "segment": { "description": "Video segment where a face was detected.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" } }, "description": "Video segment level annotation results for face detection.", "type": "object", "id": "GoogleCloudVideointelligenceV1_FaceSegment" }, "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject": { "id": "GoogleCloudVideointelligenceV1p2beta1_TimestampedObject", "description": "For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.", "type": "object", "properties": { "landmarks": { "description": "Optional. The detected landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedLandmark" } }, "normalizedBoundingBox": { "description": "Normalized Bounding box in a frame, where the object is located.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox" }, "timeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this object.", "type": "string" }, "attributes": { "description": "Optional. The attributes of the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_DetectedAttribute" } } } }, "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults": { "id": "GoogleCloudVideointelligenceV1p2beta1_VideoAnnotationResults", "properties": { "segmentPresenceLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" }, "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" }, "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "faceDetectionAnnotations": { "description": "Face detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_FaceDetectionAnnotation" } }, "shotLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" }, "description": "Topical label annotations on shot level. There is exactly one element for each unique label.", "type": "array" }, "frameLabelAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" }, "description": "Label annotations on frame level. There is exactly one element for each unique label.", "type": "array" }, "segment": { "description": "Video segment on which the annotation is run.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "shotAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment" }, "description": "Shot annotations. Each shot is represented as a video segment.", "type": "array" }, "faceAnnotations": { "description": "Deprecated. Please use `face_detection_annotations` instead.", "type": "array", "deprecated": true, "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_FaceAnnotation" } }, "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": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" } }, "textAnnotations": { "description": "OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_TextAnnotation" } }, "speechTranscriptions": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_SpeechTranscription" }, "description": "Speech transcription.", "type": "array" }, "personDetectionAnnotations": { "description": "Person detection annotations.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_PersonDetectionAnnotation" } }, "objectAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingAnnotation" }, "description": "Annotations for list of objects detected and tracked in video.", "type": "array" }, "explicitAnnotation": { "description": "Explicit content annotation.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_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": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LabelAnnotation" } }, "error": { "description": "If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail.", "$ref": "GoogleRpc_Status" }, "logoRecognitionAnnotations": { "items": { "$ref": "GoogleCloudVideointelligenceV1p2beta1_LogoRecognitionAnnotation" }, "description": "Annotations for list of logos detected, tracked and recognized in video.", "type": "array" } }, "description": "Annotation results for a single video.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_VideoSegment": { "id": "GoogleCloudVideointelligenceV1p2beta1_VideoSegment", "description": "Video segment.", "type": "object", "properties": { "endTimeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).", "type": "string" }, "startTimeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string" } } }, "GoogleCloudVideointelligenceV1_TextAnnotation": { "description": "Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.", "type": "object", "properties": { "text": { "description": "The detected text.", "type": "string" }, "version": { "description": "Feature version.", "type": "string" }, "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1_TextSegment" }, "description": "All video segments where OCR detected text appears.", "type": "array" } }, "id": "GoogleCloudVideointelligenceV1_TextAnnotation" }, "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation": { "id": "GoogleCloudVideointelligenceV1_LogoRecognitionAnnotation", "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object", "properties": { "entity": { "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as.", "$ref": "GoogleCloudVideointelligenceV1_Entity" }, "tracks": { "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1_Track" } }, "segments": { "items": { "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" }, "description": "All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.", "type": "array" } } }, "GoogleCloudVideointelligenceV1_LabelFrame": { "id": "GoogleCloudVideointelligenceV1_LabelFrame", "description": "Video frame level annotation results for label detection.", "type": "object", "properties": { "timeOffset": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.", "type": "string" }, "confidence": { "description": "Confidence that the label is accurate. Range: [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVideointelligenceV1p1beta1_TextSegment": { "id": "GoogleCloudVideointelligenceV1p1beta1_TextSegment", "properties": { "frames": { "description": "Information related to the frames where OCR detected text appears.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_TextFrame" } }, "segment": { "description": "Video segment where a text snippet was detected.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "confidence": { "description": "Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.", "type": "number", "format": "float" } }, "description": "Video segment level annotation results for text detection.", "type": "object" }, "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame": { "id": "GoogleCloudVideointelligenceV1p2beta1_ObjectTrackingFrame", "properties": { "timeOffset": { "description": "The timestamp of the frame in microseconds.", "type": "string", "format": "google-duration" }, "normalizedBoundingBox": { "description": "The normalized bounding box location of this object track for the frame.", "$ref": "GoogleCloudVideointelligenceV1p2beta1_NormalizedBoundingBox" } }, "description": "Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.", "type": "object" }, "GoogleCloudVideointelligenceV1p1beta1_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": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" } }, "entity": { "description": "Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity" }, "tracks": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Track" }, "description": "All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.", "type": "array" } }, "description": "Annotation corresponding to one detected, tracked and recognized logo class.", "type": "object", "id": "GoogleCloudVideointelligenceV1p1beta1_LogoRecognitionAnnotation" }, "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation": { "id": "GoogleCloudVideointelligenceV1p1beta1_LabelAnnotation", "description": "Label annotation.", "type": "object", "properties": { "categoryEntities": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity" }, "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" }, "frames": { "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelFrame" }, "description": "All video frames where a label was detected.", "type": "array" }, "version": { "description": "Feature version.", "type": "string" }, "entity": { "description": "Detected entity.", "$ref": "GoogleCloudVideointelligenceV1p1beta1_Entity" }, "segments": { "description": "All video segments where a label was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p1beta1_LabelSegment" } } } }, "GoogleCloudVideointelligenceV1beta2_WordInfo": { "id": "GoogleCloudVideointelligenceV1beta2_WordInfo", "properties": { "confidence": { "format": "float", "readOnly": true, "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.", "type": "number" }, "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": { "format": "int32", "readOnly": true, "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.", "type": "integer" }, "speakerLabel": { "readOnly": true, "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.", "type": "string" }, "word": { "description": "The word corresponding to this set of information.", "type": "string" }, "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" } }, "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" }, "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative": { "description": "Alternative hypotheses (a.k.a. n-best list).", "type": "object", "properties": { "confidence": { "format": "float", "readOnly": true, "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.", "type": "number" }, "transcript": { "description": "Transcript text representing the words that the user spoke.", "type": "string" }, "words": { "readOnly": true, "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.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1beta2_WordInfo" } } }, "id": "GoogleCloudVideointelligenceV1beta2_SpeechRecognitionAlternative" }, "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentAnnotation": { "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", "properties": { "frames": { "description": "All video frames where explicit content was detected.", "type": "array", "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_ExplicitContentFrame" } }, "version": { "description": "Feature version.", "type": "string" } } }, "GoogleCloudVideointelligenceV1p3beta1_Celebrity": { "properties": { "name": { "description": "The resource name of the celebrity. Have the format `video-intelligence/kg-mid` indicates a celebrity from preloaded gallery. kg-mid is the id in Google knowledge graph, which is unique for the celebrity.", "type": "string" }, "displayName": { "description": "The celebrity name.", "type": "string" }, "description": { "description": "Textual description of additional information about the celebrity, if applicable.", "type": "string" } }, "description": "Celebrity definition.", "type": "object", "id": "GoogleCloudVideointelligenceV1p3beta1_Celebrity" }, "GoogleCloudVideointelligenceV1p3beta1_StreamingAnnotateVideoResponse": { "description": "`StreamingAnnotateVideoResponse` is the only message returned to the client by `StreamingAnnotateVideo`. A series of zero or more `StreamingAnnotateVideoResponse` messages are streamed back to the client.", "type": "object", "properties": { "error": { "description": "If set, returns a google.rpc.Status message that specifies the error for the operation.", "$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" }, "annotationResults": { "description": "Streaming annotation results.", "$ref": "GoogleCloudVideointelligenceV1p3beta1_StreamingVideoAnnotationResults" } }, "id": "GoogleCloudVideointelligenceV1p3beta1_StreamingAnnotateVideoResponse" }, "GoogleCloudVideointelligenceV1beta2_ExportToOutputUriStatus": { "properties": { "status": { "description": "Output only. Only set if state is FAILED.", "$ref": "GoogleRpc_Status", "readOnly": true }, "state": { "description": "Output only. State of the `output_uri` export.", "type": "string", "enumDescriptions": [ "Default value.", "Export succeeded.", "Export failed." ], "enum": [ "STATE_UNSPECIFIED", "SUCCEEDED", "FAILED" ], "readOnly": true } }, "description": "Status of exporting annotation response to user specified `output_uri`.", "type": "object", "id": "GoogleCloudVideointelligenceV1beta2_ExportToOutputUriStatus" }, "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": { "format": "google-duration", "description": "Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).", "type": "string" } }, "description": "Video segment.", "type": "object", "id": "GoogleCloudVideointelligenceV1p1beta1_VideoSegment" }, "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoProgress": { "id": "GoogleCloudVideointelligenceV1p3beta1_AnnotateVideoProgress", "properties": { "annotationProgress": { "items": { "$ref": "GoogleCloudVideointelligenceV1p3beta1_VideoAnnotationProgress" }, "description": "Progress metadata for all videos specified in `AnnotateVideoRequest`.", "type": "array" } }, "description": "Video annotation progress. Included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object" }, "GoogleCloudVideointelligenceV1_VideoAnnotationProgress": { "id": "GoogleCloudVideointelligenceV1_VideoAnnotationProgress", "description": "Annotation progress for a single video.", "type": "object", "properties": { "inputUri": { "description": "Video file location in [Cloud Storage](https://cloud.google.com/storage/).", "type": "string" }, "updateTime": { "format": "google-datetime", "description": "Time of the most recent update.", "type": "string" }, "feature": { "enum": [ "FEATURE_UNSPECIFIED", "LABEL_DETECTION", "SHOT_CHANGE_DETECTION", "EXPLICIT_CONTENT_DETECTION", "FACE_DETECTION", "SPEECH_TRANSCRIPTION", "TEXT_DETECTION", "OBJECT_TRACKING", "LOGO_RECOGNITION", "PERSON_DETECTION" ], "description": "Specifies which feature is being tracked if the request contains more than one feature.", "type": "string", "enumDescriptions": [ "Unspecified.", "Label detection. Detect objects, such as dog or flower.", "Shot change detection.", "Explicit content detection.", "Human face detection.", "Speech transcription.", "OCR text detection and tracking.", "Object detection and tracking.", "Logo detection, tracking, and recognition.", "Person detection." ] }, "exportStatus": { "description": "Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request.", "$ref": "GoogleCloudVideointelligenceV1_ExportToOutputUriStatus" }, "progressPercent": { "format": "int32", "description": "Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.", "type": "integer" }, "segment": { "description": "Specifies which segment is being tracked if the request contains more than one segment.", "$ref": "GoogleCloudVideointelligenceV1_VideoSegment" }, "startTime": { "format": "google-datetime", "description": "Time when the request was received.", "type": "string" } } } }, "protocol": "rest", "servicePath": "", "version": "v1beta2", "icons": { "x16": "http://www.google.com/images/icons/product/search-16.gif", "x32": "http://www.google.com/images/icons/product/search-32.gif" }, "parameters": { "callback": { "type": "string", "description": "JSONP", "location": "query" }, "access_token": { "location": "query", "type": "string", "description": "OAuth access token." }, "upload_protocol": { "location": "query", "type": "string", "description": "Upload protocol for media (e.g. \"raw\", \"multipart\")." }, "oauth_token": { "location": "query", "type": "string", "description": "OAuth 2.0 token for the current user." }, "uploadType": { "type": "string", "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").", "location": "query" }, "prettyPrint": { "default": "true", "type": "boolean", "description": "Returns response with indentations and line breaks.", "location": "query" }, "fields": { "location": "query", "type": "string", "description": "Selector specifying which fields to include in a partial response." }, "quotaUser": { "location": "query", "type": "string", "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters." }, "alt": { "default": "json", "type": "string", "description": "Data format for response.", "enumDescriptions": [ "Responses with Content-Type of application/json", "Media download with context-dependent Content-Type", "Responses with Content-Type of application/x-protobuf" ], "enum": [ "json", "media", "proto" ], "location": "query" }, "$.xgafv": { "enum": [ "1", "2" ], "location": "query", "type": "string", "description": "V1 error format.", "enumDescriptions": [ "v1 error format", "v2 error format" ] }, "key": { "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.", "location": "query" } }, "rootUrl": "https://videointelligence.googleapis.com/", "basePath": "", "discoveryVersion": "v1", "ownerName": "Google", "ownerDomain": "google.com", "mtlsRootUrl": "https://videointelligence.mtls.googleapis.com/", "fullyEncodeReservedExpansion": true, "resources": { "videos": { "methods": { "annotate": { "request": { "$ref": "GoogleCloudVideointelligenceV1beta2_AnnotateVideoRequest" }, "parameters": {}, "parameterOrder": [], "response": { "$ref": "GoogleLongrunning_Operation" }, "flatPath": "v1beta2/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).", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "videointelligence.videos.annotate", "path": "v1beta2/videos:annotate" } } } }, "version_module": true }