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dc.contributor.author이동호-
dc.date.accessioned2019-10-30T02:39:20Z-
dc.date.available2019-10-30T02:39:20Z-
dc.date.issued2005-10-
dc.identifier.citationAsia Information Retrieval Symposium; AIRS 2005: Information Retrieval Technology, Page. 653-658en_US
dc.identifier.isbn978-3-540-29186-2-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/11562382_63-
dc.identifier.urihttp://repository.hanyang.ac.kr/handle/20.500.11754/111662-
dc.description.abstractRecently, advanced multimedia applications, such as geographic information system, and content-based image/video retrieval system, require the efficient processing of k-nearest neighbor queries with semantic predicates as well as visual predicates. In this paper, we propose an integrated index structure, so-called SPY-TEC+, that provides an efficient method for indexing visual and semantic feature information at the same time using the SPY-TEC and the signature file. We also propose an efficient incremental nearest neighbor algorithm for processing the k-nearest neighbor queries with visual and semantic predicates on the SPY-TEC+.en_US
dc.language.isoen_USen_US
dc.publisherSPRINGER-VERLAG BERLINen_US
dc.subjectIndex Structureen_US
dc.subjectQuery Pointen_US
dc.subjectNeighbor Algorithmen_US
dc.subjectVisual Predicateen_US
dc.subjectCover Coloren_US
dc.titleAn Efficient Incremental Nearest Neighbor Algorithm for Processing k-Nearest Neighbor Queries with Visual and Semantic Predicates in Multimedia Information Retrieval Systemsen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/11562382_63-
dc.relation.journalLECTURE NOTES IN COMPUTER SCIENCE-
dc.contributor.googleauthorLee, Dong-Ho-
dc.contributor.googleauthorPark, Dong-Joo-
dc.relation.code2007206327-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.piddhlee72-
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COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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