Abstract
In today’s world, information is one of the most important resources. Its large turnover in the media makes companies look for ways to automate processes related to labeling and storage of data. But often these processes are left on the shoulders of archive workers who have to review the footage in real-time and create metadata based on what they see, which will be transferred into the archive. This process is often very time-consuming. As a result of the analysis of approaches to video data processing, comparative analysis of the efficiency and availability of computer vision services, a software for searching faces, and forming metadata in the video archive of the VGTRK company was designed and implemented.
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