文章基本信息

标题：E-CATALOG IMAGE METADATA MINING SYSTEM USING UUP FOR E-BUSINESS INTELLIGENCE
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作者：Seong-Yong Hong ; Hae-Yeon Choi ; Hye-Jin Jin 等
期刊名称：Issues in Information Systems
印刷版ISSN：1529-7314
出版年度：2007
卷号：8
期号：2
页码：389-391
出版社：International Association for Computer Information Systems
摘要：Recently, the web sites such as e-business sites and shopping mall sites deal with a lot 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 e-catalog image retrieval system using metadata and user log. 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 adds more search information to subsequent user queries. To demonstrate the usefulness of the proposed system, some experimental results showing recall and precision are also explained.
关键词：Data Mining; Image Retrieval System; E-;Business Intelligence; Image Metadata Mining.