An efficient incremental nearest neighbor algorithm for processing k-nearest neighbor queries with visal and semantic predicates in multimedia information retrieval system
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Dong-Ho | - |
dc.contributor.author | Park, Dong-Joo | - |
dc.date.accessioned | 2021-06-24T00:38:03Z | - |
dc.date.available | 2021-06-24T00:38:03Z | - |
dc.date.issued | 2005-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46518 | - |
dc.description.abstract | Recently, 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.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer Verlag | - |
dc.title | An efficient incremental nearest neighbor algorithm for processing k-nearest neighbor queries with visal and semantic predicates in multimedia information retrieval system | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1007/11562382_63 | - |
dc.identifier.scopusid | 2-s2.0-33646137992 | - |
dc.identifier.wosid | 000233302700063 | - |
dc.identifier.bibliographicCitation | Information Retrieval Technology Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings, v.3689, pp 653 - 658 | - |
dc.citation.title | Information Retrieval Technology Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings | - |
dc.citation.volume | 3689 | - |
dc.citation.startPage | 653 | - |
dc.citation.endPage | 658 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/11562382_63 | - |
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