Multidimensional interval filter: A new indexing method for subpicture query of image retrieval

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DC 欄位	值	語言
dc.contributor.author	Shan, MK	en_US
dc.contributor.author	Lee, SY	en_US
dc.date.accessioned	2014-12-08T15:47:26Z	-
dc.date.available	2014-12-08T15:47:26Z	-
dc.date.issued	1998-11-01	en_US
dc.identifier.issn	0167-8655	en_US
dc.identifier.uri	http://hdl.handle.net/11536/31805	-
dc.description.abstract	In this paper a new indexing method, called multidimensional interval filter, is proposed to speed up processing of subpicture query. The basic idea is the transformation of spatial information of each image into a multidimensional rectangle. Processing of subpicture query becomes that of rectangle containment query which can be further speeded up by some well-developed spatial access methods such as R-Trees. (C) 1998 Elsevier Science B.V. All rights reserved.	en_US
dc.language.iso	en_US	en_US
dc.subject	2D string	en_US
dc.subject	content-base image retrieval	en_US
dc.subject	image databases	en_US
dc.subject	spatial access method	en_US
dc.title	Multidimensional interval filter: A new indexing method for subpicture query of image retrieval	en_US
dc.type	Article	en_US
dc.identifier.journal	PATTERN RECOGNITION LETTERS	en_US
dc.citation.volume	19	en_US
dc.citation.issue	13	en_US
dc.citation.spage	1241	en_US
dc.citation.epage	1255	en_US
dc.contributor.department	資訊科學與工程研究所	zh_TW
dc.contributor.department	Institute of Computer Science and Engineering	en_US
dc.identifier.wosnumber	WOS:000077805200011	-
dc.citation.woscount	0	-
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