Recognition of pornographic web pages by classifying texts and images

CASIA OpenIR > 09年以前成果

	Recognition of pornographic web pages by classifying texts and images
	Hu, Weiming; Wu, Ou; Chen, Zhouyao ; Fu, Zhouyu ; Maybank, Steve ; Ou Wu
发表期刊	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	2007-06-01
卷号	29 期号:6 页码:1019-1034
文章类型	Article
摘要	With the rapid development of the World Wide Web, people benefit more and more from the sharing of information. However, Web pages with obscene, harmful, or illegal content can be easily accessed. It is important to recognize such unsuitable, offensive, or pornographic Web pages. In this paper, a novel framework for recognizing pornographic Web pages is described. A C4.5 decision tree is used to divide Web pages, according to content representations, into continuous text pages, discrete text pages, and image pages. These three categories of Web pages are handled, respectively, by a continuous text classifier, a discrete text classifier, and an algorithm that fuses the results from the image classifier and the discrete text classifier. In the continuous text classifier, statistical and semantic features are used to recognize pornographic texts. In the discrete text classifier, the naive Bayes rule is used to calculate the probability that a discrete text is pornographic. In the image classifier, the object's contour-based features are extracted to recognize pornographic images. In the text and image fusion algorithm, the Bayes theory is used to combine the recognition results from images and texts. Experimental results demonstrate that the continuous text classifier outperforms the traditional keyword-statistics-based classifier, the contour-based image classifier outperforms the traditional skin-region-based image classifier, the results obtained by our fusion algorithm outperform those by either of the individual classifiers, and our framework can be adapted to different categories of Web pages.
关键词	Web Pages Pornographic Texts Pornographic Images Data Fusion Recognition
WOS标题词	Science & Technology ; Technology
关键词[WOS]	ENGINE
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000245600800008
引用统计	被引频次：111[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9484
专题	09年以前成果
通讯作者	Ou Wu
作者单位	1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100080, Peoples R China 2.Univ London Birkbeck Coll, Sch Comp Sci & Informat Syst, London WC1E 7HT, England
推荐引用方式 GB/T 7714	Hu, Weiming,Wu, Ou,Chen, Zhouyao,et al. Recognition of pornographic web pages by classifying texts and images[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2007,29(6):1019-1034.
APA	Hu, Weiming,Wu, Ou,Chen, Zhouyao,Fu, Zhouyu,Maybank, Steve,&Ou Wu.(2007).Recognition of pornographic web pages by classifying texts and images.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,29(6),1019-1034.
MLA	Hu, Weiming,et al."Recognition of pornographic web pages by classifying texts and images".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 29.6(2007):1019-1034.

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