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

被引:0
|
作者
Lee, DH [1 ]
Park, DJ
机构
[1] Hanyang Univ, Dept Comp Sci & Engn, Gyeonggi 426791, South Korea
[2] Soongsil Univ, Coll Informat Sci, Sch Comp, Seoul 156743, South Korea
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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+.
引用
收藏
页码:653 / 658
页数:6
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