Multidimensional interval filter: A new indexing method for subpicture query of image retrieval
| dc.citation.epage | 1255 | en_US |
| dc.citation.issue | 13 | en_US |
| dc.citation.spage | 1241 | en_US |
| dc.citation.volume | 19 | en_US |
| dc.citation.woscount | 0 | |
| dc.contributor.author | Shan, MK | en_US |
| dc.contributor.author | Lee, SY | 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.date.accessioned | 2014-12-08T15:47:26Z | |
| dc.date.available | 2014-12-08T15:47:26Z | |
| dc.date.issued | 1998-11-01 | en_US |
| 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.identifier.issn | 0167-8655 | en_US |
| dc.identifier.journal | PATTERN RECOGNITION LETTERS | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/31805 | |
| dc.identifier.wosnumber | WOS:000077805200011 | |
| 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 |