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USER IP AND VIDEO COPY-BASED HARMFUL VIDEO IDENTIFICATION METHOD AND SYSTEM

机译:基于用户ip和视频拷贝的有害视频识别方法及系统

摘要

A harmful video identification method and a system, said method comprising: when it is determined that page elements of a webpage include the URL path of a video, identifying a user's IP address or IP address field contained in the page content of the webpage; acquiring, according to the URL path of the video, a domain name included in the URL or an IP address indicated by the URL; outputting a first weight factor and a second weight factor on the basis of the related query of the IP address and the domain name; acquiring a video file having the lowest picture quality, performing, in a predetermined harmful video database, video copy detection on the video file having the lowest picture quality, and outputting a third weight factor according to a monitoring resu and integrating the first weight factor, the second weight factor and the third weight factor to identify whether the video is a harmful video. In conjunction with a database created on the basis of big data, the present disclosure can provide, in multiple modes, a harmful video identification solution using as few image processing means as possible.
机译:一种有害的视频识别方法和系统,所述方法包括:当确定网页的页面元素包括视频的URL路径时,识别所述网页的页面内容中包含的用户的IP地址或IP地址字段;根据视频的URL路径,获取URL中包含的域名或URL指示的IP地址;根据IP地址和域名的相关查询,输出第一权重因子和第二权重因子;获取最低图片质量的视频文件,在预定的有害视频数据库中,对最低图片质量的视频文件进行视频拷贝检测,并根据监控结果输出第三权重因子;对第一权重因子,第二权重因子和第三权重因子进行积分,以识别视频是否为有害视频。结合基于大数据创建的数据库,本公开可以以多种模式提供使用尽可能少的图像处理装置的有害视频识别解决方案。

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