Image clustering system on WWW using Web texts

被引：0
|
作者：
Sunayama, W [1 ]
Nagata, A [1 ]
Yachida, M [1 ]
机构：
[1] Hiroshima City Univ, Fac Informat Sci, Hiroshima 7315125, Japan
来源：
HIS'04: Fourth International Conference on Hybrid Intelligent Systems, Proceedings | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As the internet becomes the basic resource of information, not only texts but image retrieval systems have appeared. However, many supply only a list of images, so we must seek desired images one by one. Image labeling is one solution to such a problem, in which various words are labeled to an image when extracted from a single Web page. Therefore, this paper proposes an image clustering system that labels images by words related to a search keyword. Relationships are measured by Web pages in WWW. In experiments, users found the intended images faster than ordinary image search system.
引用
收藏
页码：230 / 235
页数：6
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