Types for Cloud Video Intelligence API Client

class google.cloud.videointelligence_v1.types.AnnotateVideoProgress

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

annotation_progress

Progress metadata for all videos specified in AnnotateVideoRequest.

annotation_progress

Field google.cloud.videointelligence.v1.AnnotateVideoProgress.annotation_progress

class google.cloud.videointelligence_v1.types.AnnotateVideoRequest

Video annotation request.

input_uri

Input video location. Currently, only Google Cloud 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. 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.

input_content

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

features

Requested video annotation features.

video_context

Additional video context and/or feature-specific parameters.

output_uri

Optional location where the output (in JSON format) should be stored. Currently, only Google Cloud 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.

location_id

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.

features

Field google.cloud.videointelligence.v1.AnnotateVideoRequest.features

input_content

Field google.cloud.videointelligence.v1.AnnotateVideoRequest.input_content

input_uri

Field google.cloud.videointelligence.v1.AnnotateVideoRequest.input_uri

location_id

Field google.cloud.videointelligence.v1.AnnotateVideoRequest.location_id

output_uri

Field google.cloud.videointelligence.v1.AnnotateVideoRequest.output_uri

video_context

Field google.cloud.videointelligence.v1.AnnotateVideoRequest.video_context

class google.cloud.videointelligence_v1.types.AnnotateVideoResponse

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

annotation_results

Annotation results for all videos specified in AnnotateVideoRequest.

annotation_results

Field google.cloud.videointelligence.v1.AnnotateVideoResponse.annotation_results

class google.cloud.videointelligence_v1.types.Any

type_url

Field google.protobuf.Any.type_url

value

Field google.protobuf.Any.value

class google.cloud.videointelligence_v1.types.CancelOperationRequest

name

Field google.longrunning.CancelOperationRequest.name

class google.cloud.videointelligence_v1.types.DeleteOperationRequest

name

Field google.longrunning.DeleteOperationRequest.name

class google.cloud.videointelligence_v1.types.Duration

nanos

Field google.protobuf.Duration.nanos

seconds

Field google.protobuf.Duration.seconds

class google.cloud.videointelligence_v1.types.Entity

Detected entity from video analysis.

entity_id

Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.

description

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

language_code

Language code for description in BCP-47 format.

description

Field google.cloud.videointelligence.v1.Entity.description

entity_id

Field google.cloud.videointelligence.v1.Entity.entity_id

language_code

Field google.cloud.videointelligence.v1.Entity.language_code

class google.cloud.videointelligence_v1.types.ExplicitContentAnnotation

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.

frames

All video frames where explicit content was detected.

frames

Field google.cloud.videointelligence.v1.ExplicitContentAnnotation.frames

class google.cloud.videointelligence_v1.types.ExplicitContentDetectionConfig

Config for EXPLICIT_CONTENT_DETECTION.

model

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

model

Field google.cloud.videointelligence.v1.ExplicitContentDetectionConfig.model

class google.cloud.videointelligence_v1.types.ExplicitContentFrame

Video frame level annotation results for explicit content.

time_offset

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

pornography_likelihood

Likelihood of the pornography content..

pornography_likelihood

Field google.cloud.videointelligence.v1.ExplicitContentFrame.pornography_likelihood

time_offset

Field google.cloud.videointelligence.v1.ExplicitContentFrame.time_offset

class google.cloud.videointelligence_v1.types.FaceAnnotation

Face annotation.

thumbnail

Thumbnail of a representative face view (in JPEG format).

segments

All video segments where a face was detected.

frames

All video frames where a face was detected.

frames

Field google.cloud.videointelligence.v1.FaceAnnotation.frames

segments

Field google.cloud.videointelligence.v1.FaceAnnotation.segments

thumbnail

Field google.cloud.videointelligence.v1.FaceAnnotation.thumbnail

class google.cloud.videointelligence_v1.types.FaceDetectionConfig

Config for FACE_DETECTION.

model

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

include_bounding_boxes

Whether bounding boxes be included in the face annotation output.

include_bounding_boxes

Field google.cloud.videointelligence.v1.FaceDetectionConfig.include_bounding_boxes

model

Field google.cloud.videointelligence.v1.FaceDetectionConfig.model

class google.cloud.videointelligence_v1.types.FaceFrame

Video frame level annotation results for face detection.

normalized_bounding_boxes

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.

time_offset

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

normalized_bounding_boxes

Field google.cloud.videointelligence.v1.FaceFrame.normalized_bounding_boxes

time_offset

Field google.cloud.videointelligence.v1.FaceFrame.time_offset

class google.cloud.videointelligence_v1.types.FaceSegment

Video segment level annotation results for face detection.

segment

Video segment where a face was detected.

segment

Field google.cloud.videointelligence.v1.FaceSegment.segment

class google.cloud.videointelligence_v1.types.GetOperationRequest

name

Field google.longrunning.GetOperationRequest.name

class google.cloud.videointelligence_v1.types.LabelAnnotation

Label annotation.

entity

Detected entity.

category_entities

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.

segments

All video segments where a label was detected.

frames

All video frames where a label was detected.

category_entities

Field google.cloud.videointelligence.v1.LabelAnnotation.category_entities

entity

Field google.cloud.videointelligence.v1.LabelAnnotation.entity

frames

Field google.cloud.videointelligence.v1.LabelAnnotation.frames

segments

Field google.cloud.videointelligence.v1.LabelAnnotation.segments

class google.cloud.videointelligence_v1.types.LabelDetectionConfig

Config for LABEL_DETECTION.

label_detection_mode

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

stationary_camera

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.

model

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

frame_confidence_threshold

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_confidence_threshold

The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it is 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 please follow the default threshold. We will update the default threshold everytime when we release a new model.

frame_confidence_threshold

Field google.cloud.videointelligence.v1.LabelDetectionConfig.frame_confidence_threshold

label_detection_mode

Field google.cloud.videointelligence.v1.LabelDetectionConfig.label_detection_mode

model

Field google.cloud.videointelligence.v1.LabelDetectionConfig.model

stationary_camera

Field google.cloud.videointelligence.v1.LabelDetectionConfig.stationary_camera

video_confidence_threshold

Field google.cloud.videointelligence.v1.LabelDetectionConfig.video_confidence_threshold

class google.cloud.videointelligence_v1.types.LabelFrame

Video frame level annotation results for label detection.

time_offset

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

confidence

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

confidence

Field google.cloud.videointelligence.v1.LabelFrame.confidence

time_offset

Field google.cloud.videointelligence.v1.LabelFrame.time_offset

class google.cloud.videointelligence_v1.types.LabelSegment

Video segment level annotation results for label detection.

segment

Video segment where a label was detected.

confidence

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

confidence

Field google.cloud.videointelligence.v1.LabelSegment.confidence

segment

Field google.cloud.videointelligence.v1.LabelSegment.segment

class google.cloud.videointelligence_v1.types.ListOperationsRequest

filter

Field google.longrunning.ListOperationsRequest.filter

name

Field google.longrunning.ListOperationsRequest.name

page_size

Field google.longrunning.ListOperationsRequest.page_size

page_token

Field google.longrunning.ListOperationsRequest.page_token

class google.cloud.videointelligence_v1.types.ListOperationsResponse

next_page_token

Field google.longrunning.ListOperationsResponse.next_page_token

operations

Field google.longrunning.ListOperationsResponse.operations

class google.cloud.videointelligence_v1.types.NormalizedBoundingBox

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

left

Left X coordinate.

top

Top Y coordinate.

right

Right X coordinate.

bottom

Bottom Y coordinate.

bottom

Field google.cloud.videointelligence.v1.NormalizedBoundingBox.bottom

left

Field google.cloud.videointelligence.v1.NormalizedBoundingBox.left

right

Field google.cloud.videointelligence.v1.NormalizedBoundingBox.right

top

Field google.cloud.videointelligence.v1.NormalizedBoundingBox.top

class google.cloud.videointelligence_v1.types.NormalizedBoundingPoly

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.

vertices

Normalized vertices of the bounding polygon.

vertices

Field google.cloud.videointelligence.v1.NormalizedBoundingPoly.vertices

class google.cloud.videointelligence_v1.types.NormalizedVertex

X coordinate.

y

Y coordinate.

x

Field google.cloud.videointelligence.v1.NormalizedVertex.x

y

Field google.cloud.videointelligence.v1.NormalizedVertex.y

class google.cloud.videointelligence_v1.types.ObjectTrackingAnnotation

Annotations corresponding to one tracked object.

track_info

Different representation of tracking info in non-streaming batch and streaming modes.

segment

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

track_id

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.

entity

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

confidence

Object category’s labeling confidence of this track.

frames

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.

confidence

Field google.cloud.videointelligence.v1.ObjectTrackingAnnotation.confidence

entity

Field google.cloud.videointelligence.v1.ObjectTrackingAnnotation.entity

frames

Field google.cloud.videointelligence.v1.ObjectTrackingAnnotation.frames

segment

Field google.cloud.videointelligence.v1.ObjectTrackingAnnotation.segment

track_id

Field google.cloud.videointelligence.v1.ObjectTrackingAnnotation.track_id

class google.cloud.videointelligence_v1.types.ObjectTrackingConfig

Config for OBJECT_TRACKING.

model

Model to use for object tracking. Supported values: “builtin/stable” (the default if unset) and “builtin/latest”.

model

Field google.cloud.videointelligence.v1.ObjectTrackingConfig.model

class google.cloud.videointelligence_v1.types.ObjectTrackingFrame

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

normalized_bounding_box

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

time_offset

The timestamp of the frame in microseconds.

normalized_bounding_box

Field google.cloud.videointelligence.v1.ObjectTrackingFrame.normalized_bounding_box

time_offset

Field google.cloud.videointelligence.v1.ObjectTrackingFrame.time_offset

class google.cloud.videointelligence_v1.types.Operation

deserialize()

Creates new method instance from given serialized data.

done

Field google.longrunning.Operation.done

error

Field google.longrunning.Operation.error

metadata

Field google.longrunning.Operation.metadata

name

Field google.longrunning.Operation.name

response

Field google.longrunning.Operation.response

class google.cloud.videointelligence_v1.types.OperationInfo

metadata_type

Field google.longrunning.OperationInfo.metadata_type

response_type

Field google.longrunning.OperationInfo.response_type

class google.cloud.videointelligence_v1.types.ShotChangeDetectionConfig

Config for SHOT_CHANGE_DETECTION.

model

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

model

Field google.cloud.videointelligence.v1.ShotChangeDetectionConfig.model

class google.cloud.videointelligence_v1.types.SpeechContext

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

phrases

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.

phrases

Field google.cloud.videointelligence.v1.SpeechContext.phrases

class google.cloud.videointelligence_v1.types.SpeechRecognitionAlternative

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

transcript

Transcript text representing the words that the user spoke.

confidence

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 typically provided only for the top hypothesis, and only for is_final=true results. Clients should not rely on the confidence field as it is not guaranteed to be accurate or consistent. The default of 0.0 is a sentinel value indicating confidence was not set.

words

A list of word-specific information for each recognized word.

confidence

Field google.cloud.videointelligence.v1.SpeechRecognitionAlternative.confidence

transcript

Field google.cloud.videointelligence.v1.SpeechRecognitionAlternative.transcript

words

Field google.cloud.videointelligence.v1.SpeechRecognitionAlternative.words

class google.cloud.videointelligence_v1.types.SpeechTranscription

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

alternatives

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.

language_code

Output only. The BCP-47 language tag of the language in this result. This language code was detected to have the most likelihood of being spoken in the audio.

alternatives

Field google.cloud.videointelligence.v1.SpeechTranscription.alternatives

language_code

Field google.cloud.videointelligence.v1.SpeechTranscription.language_code

class google.cloud.videointelligence_v1.types.SpeechTranscriptionConfig

Config for SPEECH_TRANSCRIPTION.

language_code

Required The language of the supplied audio as a BCP-47 language tag. Example: “en-US”. See Language Support for a list of the currently supported language codes.

max_alternatives

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.

filter_profanity

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.

speech_contexts

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

enable_automatic_punctuation

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.”

audio_tracks

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

enable_speaker_diarization

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 responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time.

diarization_speaker_count

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.

enable_word_confidence

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.

audio_tracks

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.audio_tracks

diarization_speaker_count

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.diarization_speaker_count

enable_automatic_punctuation

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.enable_automatic_punctuation

enable_speaker_diarization

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.enable_speaker_diarization

enable_word_confidence

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.enable_word_confidence

filter_profanity

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.filter_profanity

language_code

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.language_code

max_alternatives

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.max_alternatives

speech_contexts

Field google.cloud.videointelligence.v1.SpeechTranscriptionConfig.speech_contexts

class google.cloud.videointelligence_v1.types.Status

code

Field google.rpc.Status.code

details

Field google.rpc.Status.details

message

Field google.rpc.Status.message

class google.cloud.videointelligence_v1.types.TextAnnotation

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

text

The detected text.

segments

All video segments where OCR detected text appears.

segments

Field google.cloud.videointelligence.v1.TextAnnotation.segments

text

Field google.cloud.videointelligence.v1.TextAnnotation.text

class google.cloud.videointelligence_v1.types.TextDetectionConfig

Config for TEXT_DETECTION.

language_hints

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.

model

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

language_hints

Field google.cloud.videointelligence.v1.TextDetectionConfig.language_hints

model

Field google.cloud.videointelligence.v1.TextDetectionConfig.model

class google.cloud.videointelligence_v1.types.TextFrame

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.

rotated_bounding_box

Bounding polygon of the detected text for this frame.

time_offset

Timestamp of this frame.

rotated_bounding_box

Field google.cloud.videointelligence.v1.TextFrame.rotated_bounding_box

time_offset

Field google.cloud.videointelligence.v1.TextFrame.time_offset

class google.cloud.videointelligence_v1.types.TextSegment

Video segment level annotation results for text detection.

segment

Video segment where a text snippet was detected.

confidence

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

frames

Information related to the frames where OCR detected text appears.

confidence

Field google.cloud.videointelligence.v1.TextSegment.confidence

frames

Field google.cloud.videointelligence.v1.TextSegment.frames

segment

Field google.cloud.videointelligence.v1.TextSegment.segment

class google.cloud.videointelligence_v1.types.Timestamp

nanos

Field google.protobuf.Timestamp.nanos

seconds

Field google.protobuf.Timestamp.seconds

class google.cloud.videointelligence_v1.types.VideoAnnotationProgress

Annotation progress for a single video.

input_uri

Video file location in Google Cloud Storage.

progress_percent

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

start_time

Time when the request was received.

update_time

Time of the most recent update.

input_uri

Field google.cloud.videointelligence.v1.VideoAnnotationProgress.input_uri

progress_percent

Field google.cloud.videointelligence.v1.VideoAnnotationProgress.progress_percent

start_time

Field google.cloud.videointelligence.v1.VideoAnnotationProgress.start_time

update_time

Field google.cloud.videointelligence.v1.VideoAnnotationProgress.update_time

class google.cloud.videointelligence_v1.types.VideoAnnotationResults

Annotation results for a single video.

input_uri

Video file location in Google Cloud Storage.

segment_label_annotations

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

shot_label_annotations

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

frame_label_annotations

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

face_annotations

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

shot_annotations

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

explicit_annotation

Explicit content annotation.

speech_transcriptions

Speech transcription.

text_annotations

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

object_annotations

Annotations for list of objects detected and tracked in video.

error

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

error

Field google.cloud.videointelligence.v1.VideoAnnotationResults.error

explicit_annotation

Field google.cloud.videointelligence.v1.VideoAnnotationResults.explicit_annotation

face_annotations

Field google.cloud.videointelligence.v1.VideoAnnotationResults.face_annotations

frame_label_annotations

Field google.cloud.videointelligence.v1.VideoAnnotationResults.frame_label_annotations

input_uri

Field google.cloud.videointelligence.v1.VideoAnnotationResults.input_uri

object_annotations

Field google.cloud.videointelligence.v1.VideoAnnotationResults.object_annotations

segment_label_annotations

Field google.cloud.videointelligence.v1.VideoAnnotationResults.segment_label_annotations

shot_annotations

Field google.cloud.videointelligence.v1.VideoAnnotationResults.shot_annotations

shot_label_annotations

Field google.cloud.videointelligence.v1.VideoAnnotationResults.shot_label_annotations

speech_transcriptions

Field google.cloud.videointelligence.v1.VideoAnnotationResults.speech_transcriptions

text_annotations

Field google.cloud.videointelligence.v1.VideoAnnotationResults.text_annotations

class google.cloud.videointelligence_v1.types.VideoContext

Video context and/or feature-specific parameters.

segments

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.

label_detection_config

Config for LABEL_DETECTION.

shot_change_detection_config

Config for SHOT_CHANGE_DETECTION.

explicit_content_detection_config

Config for EXPLICIT_CONTENT_DETECTION.

face_detection_config

Config for FACE_DETECTION.

speech_transcription_config

Config for SPEECH_TRANSCRIPTION.

text_detection_config

Config for TEXT_DETECTION.

object_tracking_config

Config for OBJECT_TRACKING.

explicit_content_detection_config

Field google.cloud.videointelligence.v1.VideoContext.explicit_content_detection_config

face_detection_config

Field google.cloud.videointelligence.v1.VideoContext.face_detection_config

label_detection_config

Field google.cloud.videointelligence.v1.VideoContext.label_detection_config

object_tracking_config

Field google.cloud.videointelligence.v1.VideoContext.object_tracking_config

segments

Field google.cloud.videointelligence.v1.VideoContext.segments

shot_change_detection_config

Field google.cloud.videointelligence.v1.VideoContext.shot_change_detection_config

speech_transcription_config

Field google.cloud.videointelligence.v1.VideoContext.speech_transcription_config

text_detection_config

Field google.cloud.videointelligence.v1.VideoContext.text_detection_config

class google.cloud.videointelligence_v1.types.VideoSegment

Video segment.

start_time_offset

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

end_time_offset

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

end_time_offset

Field google.cloud.videointelligence.v1.VideoSegment.end_time_offset

start_time_offset

Field google.cloud.videointelligence.v1.VideoSegment.start_time_offset

class google.cloud.videointelligence_v1.types.WordInfo

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.

start_time

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.

end_time

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.

word

The word corresponding to this set of information.

confidence

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.

speaker_tag

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.

confidence

Field google.cloud.videointelligence.v1.WordInfo.confidence

end_time

Field google.cloud.videointelligence.v1.WordInfo.end_time

speaker_tag

Field google.cloud.videointelligence.v1.WordInfo.speaker_tag

start_time

Field google.cloud.videointelligence.v1.WordInfo.start_time

word

Field google.cloud.videointelligence.v1.WordInfo.word