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	A new adaptive distance computation technique for query-by-multiple-example system
	Feng, Jianqiao ; Zhao, Haifeng ; Jia, Wenhua
	2008
英文摘要	Query-By-One-Example (QBOE) is the traditional way of querying in content-based image retrieval (CBIR) system. However, as some recent research points out, QBOE method cannot get accurate result because only one image is not sufficient to express its semantics of the intended query. Therefore, Query-By-multiple-Example (QBME) method is proposed and adopted, in which query images are divided into groups according to relevance to target image class. In order to maximize major features and minimize minor ones, previous researches have introduced adaptive distance computation in QBME. These methods optimize query result compared to QBOE, but still have some defects. This paper proposes a new adaptive distance computation technique for QBME, which achieves higher performance than previous methods.; Computer Science, Software Engineering; Engineering, Electrical & Electronic; Telecommunications; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/SITIS.2008.20
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/153520]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Feng, Jianqiao,Zhao, Haifeng,Jia, Wenhua. A new adaptive distance computation technique for query-by-multiple-example system. 2008-01-01.

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