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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

Authors
Lee, Dong-HoPark, Dong-Joo
Issue Date
Oct-2005
Publisher
Springer Verlag
Citation
Information Retrieval Technology Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings, v.3689, pp 653 - 658
Pages
6
Indexed
SCIE
SCOPUS
Journal Title
Information Retrieval Technology Second Asia Information Retrieval Symposium, AIRS 2005, Jeju Island, Korea, October 13-15, 2005, Proceedings
Volume
3689
Start Page
653
End Page
658
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46518
DOI
10.1007/11562382_63
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+.
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Lee, Dong Ho
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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