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October 30, 2019
Cloud Video Intelligence now offers celebrity recognition to select media & entertainment companies and their designated partners. With celebrity recognition, you can inspect your video content to detect and track human faces that appear in the input video or video segment. The Video Intelligence API then compares the faces against a database of celebrities. This feature is in beta; access to the feature is restricted.
October 04, 2019
Logo recognition is now available as a beta feature. Learn more.
September 17, 2019
You can now specify which model you want to use with
To specify a model using the v1 version of the service, set the
model field of the
June 26, 2019
Results returned from asynchronous annotation now provide resource names in the following format
April 10, 2019
Live streaming video annotation is available as a beta feature. Learn more.
Object tracking is generally available for use. Learn more.
Streaming from a file is available as a beta feature. Learn more.
Text detection (OCR) is generally available for use. Learn more.
December 07, 2018
The Video Intelligence API enables you to transcribe text from speech in the audio of a video. Speech transcription can recognize multiple speakers, filter out profanity, add punctuation to the transcribed text, and more. For more information, see Speech Transcription. This feature is generally available.
October 26, 2018
Cloud Video Intelligence allows you to track an object from one moment to the next in a video. This feature is in beta.
You can use the Video Intelligence API to detect text (OCR) in a video. This feature is in beta.
August 08, 2018
Speech transcription is available as a beta feature. Learn more.
June 27, 2018
An improved label detection model is now available. The new model:
- Leverages audio content in videos to improve label detection.
- Is trained using more features and better calibration ground truth.
To instruct the Cloud Video Intelligence API to use the new label detection model when servicing your annotation request, set the
model field of your
We'll support both the current model and the new model the next 90 days. After 90 days the current label detection model will be deprecated and only the new label detection model will be used for all label detection requests.
November 30, 2017
Video Intelligence API is GA: The Video Intelligence API has graduated out of beta and has reached v1. All API endpoints are updated to use
September 21, 2017
Explicit content detection: SafeSearch has been renamed to Explicit Content Detection. Explicit Content Detection inspects an input video for frame-level imagery that could be considered adult content.
types replace the
SafeSearchAnnotation type. The
adult field has been renamed to
pornographyLikelihood and the
time field has been renamed to
racy fields have also been removed. The
timeOffset field returns a value of type
Duration instead of type
labelAnnotations field returned in the response for a video annotation request has been replaced with the
frameLabelAnnotations fields. This provides specific label annotations for each level of the video. The
LabelLevel enum has been removed.
All annotations have been updated to return an array of
types, an array of
types, a list of entities, and a list of entity categories. Each
LabelSegment includes a confidence value.
The field description has been replaced with an
type, which includes both the
description and an
entity_id field. You can use the entity id to find more information for some entities in the Google Knowledge Graph Search API.
enum remains unchanged and can be set as the
label_detection_mode field of the
for your request, along with the
stationary_camera field. This configurations applies only to labels. Other video intelligence features do not yet have yet any feature-specific configuration options.
June 26, 2017
SafeSearch detection: SafeSearch inspects an input video for frame-level imagery that could be considered adult content.
May 18, 2017
Cloud Video Intelligence API is available for beta.
Shot change detection: Shot detection inspects an input video, and detects changes in shots (scenes) that occur throughout the length of the video or video segment. Shot detection is performed through the
method using a