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Proceedings Paper

Intelligent web image retrieval system
Author(s): Sungyong Hong; Chungwoo Lee; Yunmook Nah
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Paper Abstract

Recently, the web sites such as e-business sites and shopping mall sites deal with lots of image information. To find a specific image from these image sources, we usually use web search engines or image database engines which rely on keyword only retrievals or color based retrievals with limited search capabilities. This paper presents an intelligent web image retrieval system. We propose the system architecture, the texture and color based image classification and indexing techniques, and representation schemes of user usage patterns. The query can be given by providing keywords, by selecting one or more sample texture patterns, by assigning color values within positional color blocks, or by combining some or all of these factors. The system keeps track of user's preferences by generating user query logs and automatically add more search information to subsequent user queries. To show the usefulness of the proposed system, some experimental results showing recall and precision are also explained.

Paper Details

Date Published: 20 July 2001
PDF: 10 pages
Proc. SPIE 4519, Internet Multimedia Management Systems II, (20 July 2001); doi: 10.1117/12.434260
Show Author Affiliations
Sungyong Hong, Dankook Univ. (South Korea)
Chungwoo Lee, Dankook Univ. (South Korea)
Yunmook Nah, Dankook Univ. (South Korea)

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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