Research on the Algorithm of Intelligent Review of Image Content

Chaoying Zhang, Minglan Su, Zhixia Guo, Baolin Liang, Sicong Ma, Jianxiu Wang
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Abstract

With the development and popularization of mobile products, people's demand for content information continues to increase. In order to provide users with a better and cleaner reading environment as much as possible, the content of the published image messages is reviewed and the images containing low-quality information are eliminated. However, for the huge amount of audit data, using traditional manual auditing methods can no longer achieve ideal results while ensuring the timeliness of information. Therefore, intelligent review of image messages by means of machine review is the key method to solve the above problems. The image message content intelligent review system designed in this paper uses deep learning related algorithms to review information. And it mainly includes two parts. They are vulgar porn review module and politically sensitive review module. The image message intelligent review system reduces the number of various types of illegal images, improves the reading environment and achieves the design purpose of this paper.
图像内容智能评审算法研究
随着移动产品的发展和普及,人们对内容信息的需求不断增加。为了尽可能地为用户提供更好、更干净的阅读环境,对发布的图片消息内容进行审核,剔除含有低质量信息的图片。然而,对于海量的审计数据,在保证信息及时性的前提下,采用传统的人工审计方法已不能达到理想的审计效果。因此,通过机器审查对图像信息进行智能审查是解决上述问题的关键方法。本文设计的图像消息内容智能审核系统采用深度学习相关算法对信息进行审核。主要包括两个部分。它们是低俗色情评论模块和政治敏感评论模块。该图像信息智能审核系统减少了各类非法图像的数量,改善了阅读环境,达到了本文的设计目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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