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Hybrid Estimation Method for Selecting Heterogeneous Image Databases on the Web  

김덕환 (동양공업전문대학 인터넷정보과)
이석룡 (한국외국어대학교 산업정보시스템공학부)
정진완 (한국과학기술원 전자전신학과)
Publication Information
Journal of KIISE:Databases / v.30, no.5, 2003 , pp. 464-475 More about this Journal
Abstract
few sample objects and compressed histogram information of image databases. The histogram information is used to estimate the selectivity of spherical range queries and a small number of sample objects is used to compensate the selectivity error due to the difference of the similarity measures between meta server and local image databases. An extensive experiment on a large number of image data demonstrates that our proposed method performs well in the distributed heterogeneous environment.
Keywords
Content Based Retrieval; Web Database; Similarity Query; Database Selection;
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