Recognition of pornographic web pages by classifying texts and images
文献类型：期刊论文
| 作者 | Hu, Weiming ; Wu, Ou; Chen, Zhouyao; Fu, Zhouyu; Maybank, Steve; Ou Wu
|
| 刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 |
| 出版日期 | 2007-06-01 |
| 卷号 | 29期号:6页码:1019-1034 |
| 关键词 | web pages pornographic texts pornographic images data fusion recognition |
| 通讯作者 | Ou Wu |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | ENGINE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000245600800008 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9484]  |
| 专题 | 自动化研究所_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. |
入库方式： OAI收割
来源：自动化研究所
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