package google.cloud.videointelligence.v1p2beta1

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Service that implements Google Cloud Video Intelligence API.

• rpc AnnotateVideo (AnnotateVideoRequest, longrunning.Operation)

  video_intelligence.proto:40

  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).

  message AnnotateVideoRequest

  video_intelligence.proto:50

  Video annotation request.

  • string input_uri = 1

    Input video location. Currently, only [Google Cloud Storage](https://cloud.google.com/storage/) URIs are supported, which must be specified in the following format: `gs://bucket-id/object-id` (other URI formats return [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see [Request URIs](/storage/docs/reference-uris). A video URI may include wildcards in `object-id`, and thus identify multiple videos. 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` should be unset.

  • bytes input_content = 6

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

  • repeated Feature features = 2

    Requested video annotation features.

  • optional VideoContext video_context = 3

    Additional video context and/or feature-specific parameters.

  • string output_uri = 4

    Optional location where the output (in JSON format) should be stored. Currently, only [Google Cloud Storage](https://cloud.google.com/storage/) URIs are supported, which must be specified in the following format: `gs://bucket-id/object-id` (other URI formats return [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]). For more information, see [Request URIs](/storage/docs/reference-uris).

  • string location_id = 5

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

• repeated VideoAnnotationProgress annotation_progress = 1

  Progress metadata for all videos specified in `AnnotateVideoRequest`.

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

• repeated VideoAnnotationResults annotation_results = 1

  Annotation results for all videos specified in `AnnotateVideoRequest`.

Detected entity from video analysis.

Used in: LabelAnnotation, ObjectTrackingAnnotation

• string entity_id = 1

  Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).

• string description = 2

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

• string language_code = 3

  Language code for `description` in BCP-47 format.

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.

Used in: VideoAnnotationResults

• repeated ExplicitContentFrame frames = 1

  All video frames where explicit content was detected.

Config for EXPLICIT_CONTENT_DETECTION.

Used in: VideoContext

• string model = 1

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

Video frame level annotation results for explicit content.

Used in: ExplicitContentAnnotation

• optional protobuf.Duration time_offset = 1

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

• Likelihood pornography_likelihood = 2

  Likelihood of the pornography content..

Video annotation feature.

Used in: AnnotateVideoRequest

• FEATURE_UNSPECIFIED = 0

  Unspecified.

• LABEL_DETECTION = 1

  Label detection. Detect objects, such as dog or flower.

• SHOT_CHANGE_DETECTION = 2

  Shot change detection.

• EXPLICIT_CONTENT_DETECTION = 3

  Explicit content detection.

• TEXT_DETECTION = 7

  OCR text detection and tracking.

• OBJECT_TRACKING = 9

  Object detection and tracking.

Label annotation.

Used in: VideoAnnotationResults

• optional Entity entity = 1

  Detected entity.

• repeated Entity category_entities = 2

  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`.

• repeated LabelSegment segments = 3

  All video segments where a label was detected.

• repeated LabelFrame frames = 4

  All video frames where a label was detected.

Config for LABEL_DETECTION.

Used in: VideoContext

• LabelDetectionMode label_detection_mode = 1

  What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to `SHOT_MODE`.

• bool stationary_camera = 2

  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.

• string model = 3

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

Label detection mode.

Used in: LabelDetectionConfig

• LABEL_DETECTION_MODE_UNSPECIFIED = 0

  Unspecified.

• SHOT_MODE = 1

  Detect shot-level labels.

• FRAME_MODE = 2

  Detect frame-level labels.

• SHOT_AND_FRAME_MODE = 3

  Detect both shot-level and frame-level labels.

Video frame level annotation results for label detection.

Used in: LabelAnnotation

• optional protobuf.Duration time_offset = 1

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

• float confidence = 2

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

Video segment level annotation results for label detection.

Used in: LabelAnnotation

• optional VideoSegment segment = 1

  Video segment where a label was detected.

• float confidence = 2

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

Bucketized representation of likelihood.

Used in: ExplicitContentFrame

• LIKELIHOOD_UNSPECIFIED = 0

  Unspecified likelihood.

• VERY_UNLIKELY = 1

  Very unlikely.

• UNLIKELY = 2

  Unlikely.

• POSSIBLE = 3

  Possible.

• LIKELY = 4

  Likely.

• VERY_LIKELY = 5

  Very likely.

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

Used in: ObjectTrackingFrame

• float left = 1

  Left X coordinate.

• float top = 2

  Top Y coordinate.

• float right = 3

  Right X coordinate.

• float bottom = 4

  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.

Used in: TextFrame

• repeated NormalizedVertex vertices = 1

  Normalized vertices of the bounding polygon.

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.

Used in: NormalizedBoundingPoly

• float x = 1

  X coordinate.

• float y = 2

  Y coordinate.

Annotations corresponding to one tracked object.

Used in: VideoAnnotationResults

• optional Entity entity = 1

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

• float confidence = 4

  Object category's labeling confidence of this track.

• repeated ObjectTrackingFrame frames = 2

  Information corresponding to all frames where this object track appears.

• optional VideoSegment segment = 3

  Each object track corresponds to one video segment where it appears.

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

Used in: ObjectTrackingAnnotation

• optional NormalizedBoundingBox normalized_bounding_box = 1

  The normalized bounding box location of this object track for the frame.

• optional protobuf.Duration time_offset = 2

  The timestamp of the frame in microseconds.

Config for SHOT_CHANGE_DETECTION.

Used in: VideoContext

• string model = 1

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

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

Used in: VideoAnnotationResults

• string text = 1

  The detected text.

• repeated TextSegment segments = 2

  All video segments where OCR detected text appears.

Config for TEXT_DETECTION.

Used in: VideoContext

• repeated string language_hints = 1

  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.

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.

Used in: TextSegment

• optional NormalizedBoundingPoly rotated_bounding_box = 1

  Bounding polygon of the detected text for this frame.

• optional protobuf.Duration time_offset = 2

  Timestamp of this frame.

Video segment level annotation results for text detection.

Used in: TextAnnotation

• optional VideoSegment segment = 1

  Video segment where a text snippet was detected.

• float confidence = 2

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

• repeated TextFrame frames = 3

  Information related to the frames where OCR detected text appears.

Annotation progress for a single video.

Used in: AnnotateVideoProgress

• string input_uri = 1

  Video file location in [Google Cloud Storage](https://cloud.google.com/storage/).

• int32 progress_percent = 2

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

• optional protobuf.Timestamp start_time = 3

  Time when the request was received.

• optional protobuf.Timestamp update_time = 4

  Time of the most recent update.

Annotation results for a single video.

Used in: AnnotateVideoResponse

• string input_uri = 1

  Video file location in [Google Cloud Storage](https://cloud.google.com/storage/).

• repeated LabelAnnotation segment_label_annotations = 2

  Label annotations on video level or user specified segment level. There is exactly one element for each unique label.

• repeated LabelAnnotation shot_label_annotations = 3

  Label annotations on shot level. There is exactly one element for each unique label.

• repeated LabelAnnotation frame_label_annotations = 4

  Label annotations on frame level. There is exactly one element for each unique label.

• repeated VideoSegment shot_annotations = 6

  Shot annotations. Each shot is represented as a video segment.

• optional ExplicitContentAnnotation explicit_annotation = 7

  Explicit content annotation.

• repeated TextAnnotation text_annotations = 12

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

• repeated ObjectTrackingAnnotation object_annotations = 14

  Annotations for list of objects detected and tracked in video.

• optional rpc.Status error = 9

  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.

Used in: AnnotateVideoRequest

• repeated VideoSegment segments = 1

  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.

• optional LabelDetectionConfig label_detection_config = 2

  Config for LABEL_DETECTION.

• optional ShotChangeDetectionConfig shot_change_detection_config = 3

  Config for SHOT_CHANGE_DETECTION.

• optional ExplicitContentDetectionConfig explicit_content_detection_config = 4

  Config for EXPLICIT_CONTENT_DETECTION.

• optional TextDetectionConfig text_detection_config = 8

  Config for TEXT_DETECTION.

Video segment.

Used in: LabelSegment, ObjectTrackingAnnotation, TextSegment, VideoAnnotationResults, VideoContext

• optional protobuf.Duration start_time_offset = 1

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

• optional protobuf.Duration end_time_offset = 2

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