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High-speed holographic correlation system for video identification on the Internet

机译:互联网上用于视频识别的高速全息相关系统

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Automatic video identification is important for indexing, search purposes, and removing illegal material on the Internet. By combining a high-speed correlation engine and web-scanning technology, we developed the Fast Recognition Correlation system (FReCs), a video identification system for the Internet. FReCs is an application thatsearches through a number of websites with user-generated content (UGC) and detects video content that violates copyright law. In this paper, we describe the FReCs configuration and an approach to investigating UGC websites using FReCs. The paper also illustrates the combination of FReCs with an optical correlation system, which is capable of easily replacing a digital authorization sever in FReCs with optical correlation.
机译:自动视频识别对于索引,搜索和删除Internet上的非法资料很重要。通过将高速相关引擎和Web扫描技术相结合,我们开发了快速识别相关系统(FReC),这是一种用于Internet的视频识别系统。 FReCs是一种应用程序,可以搜索许多具有用户生成内容(UGC)的网站,并检测违反版权法的视频内容。在本文中,我们描述了FReC的配置以及使用FReC调查UGC网站的方法。本文还说明了FReC与光学相关系统的组合,该系统能够轻松替换具有光学相关功能的FReC中的数字授权服务器。

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