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Proceedings Paper

Automatic web filtering approach based on multimodal content information
Author(s): Wei H. Ming; Lorenzo Rossi; Ying Li; C.-C. Jay Kuo
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Paper Abstract

An automatic web content classification system is proposed in this research for web information filtering. A sample group of web contents are first collected via commercial search engines. Then, they are classified into different subject group and more related web pages can be searched for further analysis. It can free from the troublesome and routine process that are performed by human beings in most search engines. And the clustered information can be updated at any specified time automatically. Preliminary experimental results are used to demonstrate the effectiveness of the performance of the proposed system.

Paper Details

Date Published: 20 July 2001
PDF: 11 pages
Proc. SPIE 4519, Internet Multimedia Management Systems II, (20 July 2001); doi: 10.1117/12.434268
Show Author Affiliations
Wei H. Ming, Univ. of Southern California (United States)
Lorenzo Rossi, Univ. of Southern California (United States)
Ying Li, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 4519:
Internet Multimedia Management Systems II
John R. Smith; Sethuraman Panchanathan; C.-C. Jay Kuo; Chinh Le, Editor(s)

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