Module types (1.13.0)

API documentation for videointelligence_v1.types module.

Video annotation progress. Included in the metadata field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

Video annotation request.

The video data bytes. If unset, the input video(s) should be specified via input_uri. If set, input_uri should be unset.

Additional video context and/or feature-specific parameters.

Optional. Cloud region where annotation should take place. Supported cloud regions: us-east1, us-west1, europe- west1, asia-east1. If no region is specified, a region will be determined based on video file location.

Video annotation response. Included in the response field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

API documentation for videointelligence_v1.types.Any class.

API documentation for videointelligence_v1.types.CancelOperationRequest class.

API documentation for videointelligence_v1.types.DeleteOperationRequest class.

API documentation for videointelligence_v1.types.Duration class.

Detected entity from video analysis.

Textual description, e.g. Fixed-gear bicycle.

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.

Config for EXPLICIT_CONTENT_DETECTION.

Video frame level annotation results for explicit content.

Likelihood of the pornography content..

Face annotation.

All video segments where a face was detected.

Config for FACE_DETECTION.

Whether bounding boxes be included in the face annotation output.

Video frame level annotation results for face detection.

Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.

Video segment level annotation results for face detection.

API documentation for videointelligence_v1.types.GetOperationRequest class.

Label annotation.

Common categories for the detected entity. E.g. 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.

All video frames where a label was detected.

Config for LABEL_DETECTION.

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.

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 please follow the default threshold. We will update the default threshold everytime when we release a new model.

Video frame level annotation results for label detection.

Confidence that the label is accurate. Range: [0, 1].

Video segment level annotation results for label detection.

Confidence that the label is accurate. Range: [0, 1].

API documentation for videointelligence_v1.types.ListOperationsRequest class.

API documentation for videointelligence_v1.types.ListOperationsResponse class.

Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].

Top Y coordinate.

Bottom Y coordinate.

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 trignometric calculations for location of the box.

X coordinate.

Annotations corresponding to one tracked object.

Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.

Entity to specify the object category that this track is labeled as.

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.

Config for OBJECT_TRACKING.

Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.

The timestamp of the frame in microseconds.

API documentation for videointelligence_v1.types.Operation class.

API documentation for videointelligence_v1.types.OperationInfo class.

Config for SHOT_CHANGE_DETECTION.

Provides "hints" to the speech recognizer to favor specific words and phrases in the results.

Alternative hypotheses (a.k.a. n-best list).

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.

A speech recognition result corresponding to a portion of the audio.

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.

Config for SPEECH_TRANSCRIPTION.

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.

Optional. A means to provide context to assist the speech recognition.

Optional. For file formats, such as MXF or MKV, supporting multiple audio tracks, specify up to two tracks. Default: track 0.

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.

API documentation for videointelligence_v1.types.Status class.

Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.

All video segments where OCR detected text appears.

Config for TEXT_DETECTION.

Model to use for text detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

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.

Timestamp of this frame.

Video segment level annotation results for text detection.

Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears.

API documentation for videointelligence_v1.types.Timestamp class.

Annotation progress for a single video.

Approximate percentage processed thus far. Guaranteed to be 100 when fully processed.

Time of the most recent update.

Specifies which segment is being tracked if the request contains more than one segments.

Annotation results for a single video.

Video segment on which the annotation is run.

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.

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.

Face annotations. There is exactly one element for each unique face.

Explicit content annotation.

OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it.

If set, indicates an error. Note that for a single AnnotateVideoRequest some videos may succeed and some may fail.

Video context and/or feature-specific parameters.

Config for LABEL_DETECTION.

Config for EXPLICIT_CONTENT_DETECTION.

Config for SPEECH_TRANSCRIPTION.

Config for OBJECT_TRACKING.

Video segment.

Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive).

API documentation for videointelligence_v1.types.WaitOperationRequest class.

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.

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.

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.