A Rich Get Richer Strategy for content-based image retrieval

	A Rich Get Richer Strategy for content-based image retrieval
	Duan, LJ; Gao, W; Ma, JY
	2000
发表期刊	ADVANCES IN VISUAL INFORMATION SYSTEMS, PROCEEDINGS
ISSN	0302-9743
卷号	1929 页码:290-299
摘要	A novel relevance feedback approach to image retrieval, Rich Get Richer (RGR) Strategy, is proposed in this paper. It is based on the general framework of Bayesian inference in statistics. The user's feedback information is propagated into the retrieval process step by step. The more promising images are emphasized by the Rich Get Richer (RGR) Strategy. On the contrary, the less promising ones are de-emphasized. The experimental results show that the proposed approach can capture the user's information need more precisely. By using RGR, the average precision improves from 5 to 20% for each interaction.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000174582400026
出版者	SPRINGER-VERLAG BERLIN
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/13337
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Duan, LJ
作者单位	Chinese Acad Sci, Comp Technol Inst, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Duan, LJ,Gao, W,Ma, JY. A Rich Get Richer Strategy for content-based image retrieval[J]. ADVANCES IN VISUAL INFORMATION SYSTEMS, PROCEEDINGS,2000,1929:290-299.
APA	Duan, LJ,Gao, W,&Ma, JY.(2000).A Rich Get Richer Strategy for content-based image retrieval.ADVANCES IN VISUAL INFORMATION SYSTEMS, PROCEEDINGS,1929,290-299.
MLA	Duan, LJ,et al."A Rich Get Richer Strategy for content-based image retrieval".ADVANCES IN VISUAL INFORMATION SYSTEMS, PROCEEDINGS 1929(2000):290-299.