Adaptive image retrieval using the fuzzy integral

被引：7
|
作者：
Frigui, H [1 ]
机构：
[1] Univ Memphis, Dept Elect Engn, Memphis, TN 38152 USA
来源：
18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS | 1999年
关键词：
D O I：
10.1109/NAFIPS.1999.781759
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes an interactive and iterative image retrieval system which takes into account the subjectivity of human perception of visual content. The proposed system uses a dynamic similarity measure based on the Choquet integral. Both positive and negative user's feedback are modeled by fuzzy sets, and are used to refine the feature relevance weights. The experimental results on more than 3000 texture images illustrate the learning behavior of the retrieval system.
引用
收藏
页码：575 / 579
页数：5
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