Amazon Web Services has added an additional four segments to its Amazon Rekognition video segment detection software.
The API enables media customers to automatically detect frame accurate end credits, black frame segments, shot changes, and colour bars in video files using machine learning (ML).
It has now been updated to include opening credits, content segments, slates, and studio logos, as well as improved accuracy for credits and shot detection, and new filters to control black frame detection.
Video segment detection helps operations and media supply chain teams to streamline manual content preparation and quality control (QC) tasks for VoD applications.
According to AWS, video segment detection enables users to reduce asset review time from hours to minutes, “cut down the cost of manual operations by 2-5x, and prepare large volumes of archival or third-party content for streaming at short turnaround”.
“This helps broadcasters and streaming platforms to free up operator resources for higher value work, create interactive skip prompts to keep viewers engaged, and simplify ad insertion workflows for easier monetisation,” said the company.
More details are available on AWS’ blog.
