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dc.contributor.author이동호-
dc.date.accessioned2023-08-23T01:12:59Z-
dc.date.available2023-08-23T01:12:59Z-
dc.date.issued2005-10-
dc.identifier.citationLecture Notes in Computer Science, v. 3689, Page. 653-658-
dc.identifier.issn0302-9743;1611-3349-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/11562382_63en_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/186121-
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+.-
dc.description.sponsorshipThis work was supported by the research fund of Hanyang University(HY-2004).-
dc.languageen-
dc.publisherSpringer Verlag-
dc.titleAn efficient incremental nearest neighbor algorithm for processing k-nearest neighbor queries with visal and semantic predicates in multimedia information retrieval system-
dc.typeArticle-
dc.relation.volume3689-
dc.identifier.doi10.1007/11562382_63-
dc.relation.page653-658-
dc.relation.journalLecture Notes in Computer Science-
dc.contributor.googleauthorLee, Dong-Ho-
dc.contributor.googleauthorPark, Dong-Joo-
dc.sector.campusE-
dc.sector.daehak소프트웨어융합대학-
dc.sector.department인공지능학과-
dc.identifier.piddhlee72-
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