24 0

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_63http://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] > COMPUTER SCIENCE(소프트웨어학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE