Research on the Relevance Feedback-based Image Retrieval in Digital Library

被引：0

作者：

Ding, Rongtao

Ji, Xinhao

Zhu, Linting

机构：

来源：

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 25 | 2007年 / 25卷

关键词：

image retrieval; Relevance feedback; Radial basis function;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In recent years, the relevance feedback technology is regarded in content-based image retrieval. This paper suggests a neural networks feedback algorithm based on the radial basis function, coming to extract the semantic character of image. The results of experiment indicated that the performance of this relevance feedback is better than the feedback algorithm based on Single-RBF.

引用

页码：48 / 52

页数：5

共 4 条

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[2] JING F, 2003, ICME 03 P 2003 INT C, V6, P21
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Guan, L
[J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2004, 6 (05) : 703 - 716
[4] Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval
Tao, DC
Tang, X
Li, XL
Wu, XD
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 28 (07) : 1088 - 1099

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