An Efficient Incremental Nearest Neighbor Algorithm for Processing k-Nearest Neighbor Queries with Visual and Semantic Predicates in Multimedia Information Retrieval Systems
- Title
- An Efficient Incremental Nearest Neighbor Algorithm for Processing k-Nearest Neighbor Queries with Visual and Semantic Predicates in Multimedia Information Retrieval Systems
- Author
- 이동호
- Keywords
- Index Structure; Query Point; Neighbor Algorithm; Visual Predicate; Cover Color
- Issue Date
- 2005-10
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- Asia Information Retrieval Symposium; AIRS 2005: Information Retrieval Technology, 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/20.500.11754/111662
- ISBN
- 978-3-540-29186-2
- DOI
- 10.1007/11562382_63
- Appears in Collections:
- COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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