Chaoying Zhang, Minglan Su, Zhixia Guo, Baolin Liang, Sicong Ma, Jianxiu Wang
{"title":"Research on the Algorithm of Intelligent Review of Image Content","authors":"Chaoying Zhang, Minglan Su, Zhixia Guo, Baolin Liang, Sicong Ma, Jianxiu Wang","doi":"10.1109/CTMCD53128.2021.00026","DOIUrl":null,"url":null,"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.","PeriodicalId":298084,"journal":{"name":"2021 International Conference on Computer Technology and Media Convergence Design (CTMCD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer Technology and Media Convergence Design (CTMCD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTMCD53128.2021.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.