Title :
A Novel Web Page Filtering System by Combining Texts and Images
Author :
Chen, Zhouyao ; Wu, Ou ; Zhu, Mingliang ; Hu, Weiming
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing
Abstract :
With the rapid development of the Internet, people benefit much from the sharing of information. Meanwhile, the WWW era is a double-edged sword which spreads harmful and erotic content widely. In this paper, a new statistical approach has been exploited by combining the results of two or more different classification methods using our filtering system. We first briefly introduce the classification of discrete texts, continuous texts and images separately, and then describe the specific way we have been exploring to merge the text and image classification result. Also there is a section illustrating our system framework. Finally we assess our method by demonstrating the experimental results and comparing it to some common-used filtering methods
Keywords :
Internet; image classification; information filtering; statistical analysis; text analysis; Internet; Web page filtering system; image classification; information sharing; statistical approach; text classification methods; Automation; Image classification; Information filtering; Information filters; Laboratories; Pattern recognition; Uniform resource locators; Web and internet services; Web pages; World Wide Web;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7