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Proceedings Paper

WWW image retrieval based on text within HTML files and image color
Author(s): Guojun Lu; Ben Williams
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Paper Abstract

As more and more images are used in HTML documents, effective WWW image retrieval systems are required to locate relevant images. The aims of designing and developing such a retrieval system are to improve its retrieval performance so that it has high ability to retrieve relevant images and reject irrelevant images and to make it easy to use. We describe an approach integrating text based and content based techniques, to take advantage of their complementing strengths meet these two aims. Our experimental results show that the integrated approach has higher retrieval performance than either the text based or the content based techniques, and it is easy to start a search process.

Paper Details

Date Published: 24 August 1999
PDF: 9 pages
Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); doi: 10.1117/12.360431
Show Author Affiliations
Guojun Lu, Monash Univ. (Australia)
Ben Williams, Monash Univ. (Australia)

Published in SPIE Proceedings Vol. 3846:
Multimedia Storage and Archiving Systems IV
Sethuraman Panchanathan; Shih-Fu Chang; C.-C. Jay Kuo, Editor(s)

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