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METHOD AND SYSTEM FOR IDENTIFYING HARMFUL PICTURES BASED ON USER ID

机译:基于用户标识的有害图片识别方法及系统

摘要

Provided are a method and a system for identifying a harmful picture. The method comprises: when it is determined that a page element of a webpage comprises a URL path ofa picture, identifying a user ID recorded in a page content of the webpage, obtaining a domain name included in the URL or an IP address pointed to by the URL according to the URL path of the picture, and outputting a first weighting factor and a second weighting factor on the basis of related queries of the user ID, the IP address, and the domain name; and further acquiring the picture and extracting a DC coefficient from a compressed domain of the picture, so as to partially decompress the picture, identify the picture, and output a third weighting factor according to the result of identifying the picture; and combining the first weighting factor, the second weighting factor and the third weighting factor to identify whether the picture belongs to the harmful picture. Through the present disclosure, a scheme for identifying harmful pictures is realized by using a plurality of modes and and using as few image processing means as possible, in combination with a database created by big data.
机译:提供了一种用于识别有害图片的方法和系统。该方法包括:当确定网页的页面元素包括图片的URL路径时,标识记录在该网页的页面内容中的用户ID,获取该URL中包含的域名或由该IP地址指向的IP地址。根据图片的URL路径,获取URL,并根据用户ID,IP地址和域名的相关查询,输出第一加权因子和第二加权因子;进一步获取图片并从图片的压缩域中提取DC系数,以对图片进行部分解压缩,识别图片,并根据图片的识别结果输出第三加权因子;结合第一权重因子,第二权重因子和第三权重因子,识别图片是否属于有害图片。通过本公开,结合大数据创建的数据库,通过使用多种模式并且使用尽可能少的图像处理装置来实现用于识别有害图片的方案。

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