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An efficient incremental nearest neighbor algorithm for processing k-nearest neighbor queries with visal and semantic predicates in multimedia information retrieval system

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dc.contributor.authorLee, Dong-Ho-
dc.contributor.authorPark, Dong-Joo-
dc.date.accessioned2021-06-24T00:38:03Z-
dc.date.available2021-06-24T00:38:03Z-
dc.date.issued2005-10-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46518-
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.format.extent6-
dc.language영어-
dc.language.isoENG-
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.publisher.location미국-
dc.identifier.doi10.1007/11562382_63-
dc.identifier.scopusid2-s2.0-33646137992-
dc.identifier.wosid000233302700063-
dc.identifier.bibliographicCitationInformation Retrieval Technology Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings, v.3689, pp 653 - 658-
dc.citation.titleInformation Retrieval Technology Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings-
dc.citation.volume3689-
dc.citation.startPage653-
dc.citation.endPage658-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/11562382_63-
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Lee, Dong Ho
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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