Intelligent web image retrieval system

Sungyong Hong; Chungwoo Lee; Yunmook Nah

doi:10.1117/12.434260

20 July 2001 Intelligent web image retrieval system

Sungyong Hong, Chungwoo Lee, Yunmook Nah

Proceedings Volume 4519, Internet Multimedia Management Systems II; (2001) https://doi.org/10.1117/12.434260
Event: ITCom 2001: International Symposium on the Convergence of IT and Communications, 2001, Denver, CO, United States

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.

Citation Download Citation

Sungyong Hong, Chungwoo Lee, and Yunmook Nah "Intelligent web image retrieval system", Proc. SPIE 4519, Internet Multimedia Management Systems II, (20 July 2001); https://doi.org/10.1117/12.434260

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