Correlation learning method based on image internal semantic model for CBIR

	Correlation learning method based on image internal semantic model for CBIR
	Duan, LJ ; Mao, GJ ; Gao, W
	2004
发表期刊	ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 2, PROCEEDINGS
ISSN	0302-9743
卷号	3332 页码:172-179
摘要	Semantic-based image retrieval is the desired target of Content-based image retrieval (CBIR). In this paper, we proposed a new method to extract semantic information for CBIR using the relevance feedback results. Firstly it is assumed that positive and negative examples in relevant feedback are containing semantic content added by users. Then image internal semantic model (IISM) is proposed to represent comprehensive pair-wise correlation information for images through analyzing the feedback results. Finally, correlation learning method is proposed to represent the images' pair-wise relationship based on statistical value of access path, access frequency, similarity factor and correlation factor. Experimental results on Corel datasets show the effectiveness of the proposed model and method.
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, Theory & Methods
WOS记录号	WOS:000226025200022
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9826
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	1.Beijing Univ Technol, Coll Comp Sci, Beijing 100022, Peoples R China 2.Chinese Acad Sci, Comp Technol Inst, Beijing 100080, Peoples R China 3.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
推荐引用方式 GB/T 7714	Duan, LJ,Mao, GJ,Gao, W. Correlation learning method based on image internal semantic model for CBIR[J]. ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 2, PROCEEDINGS,2004,3332:172-179.
APA	Duan, LJ,Mao, GJ,&Gao, W.(2004).Correlation learning method based on image internal semantic model for CBIR.ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 2, PROCEEDINGS,3332,172-179.
MLA	Duan, LJ,et al."Correlation learning method based on image internal semantic model for CBIR".ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 2, PROCEEDINGS 3332(2004):172-179.