Amazon Rekognition Video segment detection now supports four new segment types, improves accuracy

Amazon Rekognition Video is a machine learning (ML) based service that can analyze videos to detect objects, people, faces, text, scenes, activities, and inappropriate content. Video segment detection makes it easy for media companies to streamline common operational tasks by automatically detecting frame-accurate silent black frames, end credits, color bars, and shot changes in video files. Starting today, customers can detect four additional segment types – opening credits, content segments, slates, and studio logos. In addition, customers get improved accuracy for shot detection and complex end credit sequences, along with new filtering options for black frame detection to handle varied file quality and color ranges. 

Source:: Amazon AWS