DocumentCode :
2242808
Title :
KPYR: An Efficient Indexing Method
Author :
Urruty, T. ; Belkouch, F. ; Djeraba, C.
Author_Institution :
Lab. d´´Inf. Fondamentale de Lille, CNRS
fYear :
2005
fDate :
6-6 July 2005
Firstpage :
1448
Lastpage :
1451
Abstract :
Motivated by the needs for efficient indexing structures adapted to real applications in video database, we present a new indexing structure named Kpyr. In Kpyr, we use a clustering algorithm to partition the data space into sub-spaces on which we apply Pyramid technique (S. Berchtold, et al., 1998). We thus reduce the search space concerned by a query and improve the performances. We show that our approach provides interesting and performing experimental results for both K-nearest neighbors and window queries
Keywords :
data structures; database indexing; pattern clustering; query processing; video databases; video signal processing; K-nearest neighbor; Kpyr method; Pyramid technique; clustering algorithm; data space partition; indexing structure; video database; window queries; Advertising; Clustering algorithms; Databases; Digital video broadcasting; Indexing; Motion pictures; Multidimensional systems; Partitioning algorithms; TV broadcasting; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-9331-7
Type :
conf
DOI :
10.1109/ICME.2005.1521704
Filename :
1521704
Link To Document :
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