VidiNet Cognitive Services (VCS) integrates cognitive service provides, like AWS, into VidiCore and stores analysis metadata in a so called ADU (analyzed data unit). The ADU is a type of metadata field group containing cognitive analysis metadata, for example transcript data, celebrity detection, or content moderation. This metadata is gathered from one or more cognitive service providers and transformed into a standardized format when using the Vidinet Cognitive Services. This standardized format conforms to the VidiCore metadata model.
VidiNet Cognitive Services on AWS makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. Based on Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. This also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
VidiNet Cognitive Services utilizes Amazon Rekognition Video as a deep learning powered video analysis service that detects activities; understands the movement of people in frame; and recognizes people, objects, celebrities, and inappropriate content from your video stored in Amazon S3. Results are paired with time stamps so that you can easily create an index to facilitate highly detailed video search.