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-Ho; Park, 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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