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kratos/third_party/google/cloud/videointelligence/v1p1beta1/video_intelligence.proto

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// Copyright 2018 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package google.cloud.videointelligence.v1p1beta1;
import "google/api/annotations.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/duration.proto";
import "google/protobuf/timestamp.proto";
import "google/rpc/status.proto";
option csharp_namespace = "Google.Cloud.VideoIntelligence.V1P1Beta1";
option go_package = "google.golang.org/genproto/googleapis/cloud/videointelligence/v1p1beta1;videointelligence";
option java_multiple_files = true;
option java_outer_classname = "VideoIntelligenceServiceProto";
option java_package = "com.google.cloud.videointelligence.v1p1beta1";
option php_namespace = "Google\\Cloud\\VideoIntelligence\\V1p1beta1";
// Service that implements Google Cloud Video Intelligence API.
service VideoIntelligenceService {
// 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).
rpc AnnotateVideo(AnnotateVideoRequest)
returns (google.longrunning.Operation) {
option (google.api.http) = {
post: "/v1p1beta1/videos:annotate"
body: "*"
};
}
}
// Video annotation request.
message AnnotateVideoRequest {
// 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.
string input_uri = 1;
// The video data bytes.
// If unset, the input video(s) should be specified via `input_uri`.
// If set, `input_uri` should be unset.
bytes input_content = 6;
// Requested video annotation features.
repeated Feature features = 2;
// Additional video context and/or feature-specific parameters.
VideoContext video_context = 3;
// 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 output_uri = 4;
// 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.
string location_id = 5;
}
// Video context and/or feature-specific parameters.
message VideoContext {
// 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.
repeated VideoSegment segments = 1;
// Config for LABEL_DETECTION.
LabelDetectionConfig label_detection_config = 2;
// Config for SHOT_CHANGE_DETECTION.
ShotChangeDetectionConfig shot_change_detection_config = 3;
// Config for EXPLICIT_CONTENT_DETECTION.
ExplicitContentDetectionConfig explicit_content_detection_config = 4;
// Config for SPEECH_TRANSCRIPTION.
SpeechTranscriptionConfig speech_transcription_config = 6;
}
// Config for LABEL_DETECTION.
message LabelDetectionConfig {
// What labels should be detected with LABEL_DETECTION, in addition to
// video-level labels or segment-level labels.
// If unspecified, defaults to `SHOT_MODE`.
LabelDetectionMode label_detection_mode = 1;
// 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.
bool stationary_camera = 2;
// Model to use for label detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 3;
}
// Config for SHOT_CHANGE_DETECTION.
message ShotChangeDetectionConfig {
// Model to use for shot change detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
}
// Config for EXPLICIT_CONTENT_DETECTION.
message ExplicitContentDetectionConfig {
// Model to use for explicit content detection.
// Supported values: "builtin/stable" (the default if unset) and
// "builtin/latest".
string model = 1;
}
// Video segment.
message VideoSegment {
// Time-offset, relative to the beginning of the video,
// corresponding to the start of the segment (inclusive).
google.protobuf.Duration start_time_offset = 1;
// Time-offset, relative to the beginning of the video,
// corresponding to the end of the segment (inclusive).
google.protobuf.Duration end_time_offset = 2;
}
// Video segment level annotation results for label detection.
message LabelSegment {
// Video segment where a label was detected.
VideoSegment segment = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
}
// Video frame level annotation results for label detection.
message LabelFrame {
// Time-offset, relative to the beginning of the video, corresponding to the
// video frame for this location.
google.protobuf.Duration time_offset = 1;
// Confidence that the label is accurate. Range: [0, 1].
float confidence = 2;
}
// Detected entity from video analysis.
message Entity {
// Opaque entity ID. Some IDs may be available in
// [Google Knowledge Graph Search
// API](https://developers.google.com/knowledge-graph/).
string entity_id = 1;
// Textual description, e.g. `Fixed-gear bicycle`.
string description = 2;
// Language code for `description` in BCP-47 format.
string language_code = 3;
}
// Label annotation.
message LabelAnnotation {
// Detected entity.
Entity entity = 1;
// 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 Entity category_entities = 2;
// All video segments where a label was detected.
repeated LabelSegment segments = 3;
// All video frames where a label was detected.
repeated LabelFrame frames = 4;
}
// Video frame level annotation results for explicit content.
message ExplicitContentFrame {
// Time-offset, relative to the beginning of the video, corresponding to the
// video frame for this location.
google.protobuf.Duration time_offset = 1;
// Likelihood of the pornography content..
Likelihood pornography_likelihood = 2;
}
// 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.
message ExplicitContentAnnotation {
// All video frames where explicit content was detected.
repeated ExplicitContentFrame frames = 1;
}
// Annotation results for a single video.
message VideoAnnotationResults {
// Output only. Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Label annotations on video level or user specified segment level.
// There is exactly one element for each unique label.
repeated LabelAnnotation segment_label_annotations = 2;
// Label annotations on shot level.
// There is exactly one element for each unique label.
repeated LabelAnnotation shot_label_annotations = 3;
// Label annotations on frame level.
// There is exactly one element for each unique label.
repeated LabelAnnotation frame_label_annotations = 4;
// Shot annotations. Each shot is represented as a video segment.
repeated VideoSegment shot_annotations = 6;
// Explicit content annotation.
ExplicitContentAnnotation explicit_annotation = 7;
// Speech transcription.
repeated SpeechTranscription speech_transcriptions = 11;
// Output only. If set, indicates an error. Note that for a single
// `AnnotateVideoRequest` some videos may succeed and some may fail.
google.rpc.Status error = 9;
}
// Video annotation response. Included in the `response`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoResponse {
// Annotation results for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationResults annotation_results = 1;
}
// Annotation progress for a single video.
message VideoAnnotationProgress {
// Output only. Video file location in
// [Google Cloud Storage](https://cloud.google.com/storage/).
string input_uri = 1;
// Output only. Approximate percentage processed thus far. Guaranteed to be
// 100 when fully processed.
int32 progress_percent = 2;
// Output only. Time when the request was received.
google.protobuf.Timestamp start_time = 3;
// Output only. Time of the most recent update.
google.protobuf.Timestamp update_time = 4;
}
// Video annotation progress. Included in the `metadata`
// field of the `Operation` returned by the `GetOperation`
// call of the `google::longrunning::Operations` service.
message AnnotateVideoProgress {
// Progress metadata for all videos specified in `AnnotateVideoRequest`.
repeated VideoAnnotationProgress annotation_progress = 1;
}
// Config for SPEECH_TRANSCRIPTION.
message SpeechTranscriptionConfig {
// *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.
string language_code = 1;
// *Optional* Maximum number of recognition hypotheses to be returned.
// Specifically, the maximum number of `SpeechRecognitionAlternative` messages
// within each `SpeechRecognitionResult`. 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.
int32 max_alternatives = 2;
// *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.
bool filter_profanity = 3;
// *Optional* A means to provide context to assist the speech recognition.
repeated SpeechContext speech_contexts = 4;
// *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."
bool enable_automatic_punctuation = 5;
// *Optional* For file formats, such as MXF or MKV, supporting multiple audio
// tracks, specify up to two tracks. Default: track 0.
repeated int32 audio_tracks = 6;
}
// Provides "hints" to the speech recognizer to favor specific words and phrases
// in the results.
message SpeechContext {
// *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).
repeated string phrases = 1;
}
// A speech recognition result corresponding to a portion of the audio.
message SpeechTranscription {
// Output only. 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.
repeated SpeechRecognitionAlternative alternatives = 1;
}
// Alternative hypotheses (a.k.a. n-best list).
message SpeechRecognitionAlternative {
// Output only. Transcript text representing the words that the user spoke.
string transcript = 1;
// 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 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.
float confidence = 2;
// Output only. A list of word-specific information for each recognized word.
repeated WordInfo words = 3;
}
// 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`.
message WordInfo {
// Output only. 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.
google.protobuf.Duration start_time = 1;
// Output only. 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.
google.protobuf.Duration end_time = 2;
// Output only. The word corresponding to this set of information.
string word = 3;
}
// Video annotation feature.
enum Feature {
// Unspecified.
FEATURE_UNSPECIFIED = 0;
// Label detection. Detect objects, such as dog or flower.
LABEL_DETECTION = 1;
// Shot change detection.
SHOT_CHANGE_DETECTION = 2;
// Explicit content detection.
EXPLICIT_CONTENT_DETECTION = 3;
// Speech transcription.
SPEECH_TRANSCRIPTION = 6;
}
// Label detection mode.
enum LabelDetectionMode {
// Unspecified.
LABEL_DETECTION_MODE_UNSPECIFIED = 0;
// Detect shot-level labels.
SHOT_MODE = 1;
// Detect frame-level labels.
FRAME_MODE = 2;
// Detect both shot-level and frame-level labels.
SHOT_AND_FRAME_MODE = 3;
}
// Bucketized representation of likelihood.
enum Likelihood {
// Unspecified likelihood.
LIKELIHOOD_UNSPECIFIED = 0;
// Very unlikely.
VERY_UNLIKELY = 1;
// Unlikely.
UNLIKELY = 2;
// Possible.
POSSIBLE = 3;
// Likely.
LIKELY = 4;
// Very likely.
VERY_LIKELY = 5;
}