A Probabilistic Model for User Relevance Feedback on Image Retrieval

被引：0
|
作者：
Paredes, Roberto [1 ]
Deselaers, Thornas [2 ]
Vidal, Enrique [1 ]
机构：
[1] Univ Politecn Valencia, Inst Informat Technol, Pattern Recognit & Human Language Technol Grp, Valencia, Spain
[2] Rhein Westfal TH Aachen, Dept Comp Sci, Human Language Technol & Pattern Recognit Grp, Aachen, Germany
来源：
MACHINE LEARNING FOR MULTIMODAL INTERACTION, PROCEEDINGS | 2008年 / 5237卷
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：
We present a novel probabilistic model for user interaction in image retrieval applications which accounts for consistency among the retrieved images and considers the. distribution of images in the database which is searched for, Common models for relevance feedback do not consider this and thus do riot incorporate all available information. The proposed method is evaluated on two publicly available benchmark databases and clearly outperforms recent competitive methods.
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收藏
页码：260 / +
页数：3
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