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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

Title
An efficient incremental nearest neighbor algorithm for processing k-nearest neighbor queries with visal and semantic predicates in multimedia information retrieval system
Author
이동호
Issue Date
2005-10
Publisher
Springer Verlag
Citation
Lecture Notes in Computer Science, v. 3689, Page. 653-658
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+.
URI
https://link.springer.com/chapter/10.1007/11562382_63https://repository.hanyang.ac.kr/handle/20.500.11754/186121
ISSN
0302-9743;1611-3349
DOI
10.1007/11562382_63
Appears in Collections:
ETC[S] > ETC
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