loading...
Approximating the selectivity of multimedia range queries
Amsterdam, Netherlands July 06-July 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2005.15214402005 IEEE International Conference on ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
M. Doller, H. Kosch, "Approximating the selectivity of multimedia range queries," Multimedia and Expo, IEEE International Conference on, pp. 4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2005.1521440,
author = {M. Doller and H. Kosch},
title = {Approximating the selectivity of multimedia range queries},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2005},
isbn = {0-7803-9331-7},
pages = {4 pp.},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521440},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - Approximating the selectivity of multimedia range queries
SN - 0-7803-9331-7
SP
EP
A1 - M. Doller,
A1 - H. Kosch,
PY - 2005
KW - selectivity approximation
KW - image database query
KW - DBSCAN clustering technique
KW - MPEG-7
KW - scalable color descriptor
KW - Oracle multimedia database system
KW - extensible optimizer architecture
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
M. Doller, Dept. of Inf. Technol., Klagenfurt Univ., Austria
H. Kosch, Dept. of Inf. Technol., Klagenfurt Univ., Austria
This paper introduces a new approach of approximating the selectivity of multimedia range queries. Estimating the selectivity of a range query is a pre-requisite to optimize a multimedia database query. We use the DBSCAN clustering technique for finding high density areas in the data set. Then, the selectivity is approximated with the help of a density function in combination with the volume of the query's hyper sphere. Our approach is fast and accurate which was evaluated on an image data set using the MPEG-7 scalable color descriptor. The technique is integrated with the help of the extensible optimizer architecture in the Oracle multimedia database system.
Index Terms:
selectivity approximation, image database query, DBSCAN clustering technique, MPEG-7, scalable color descriptor, Oracle multimedia database system, extensible optimizer architecture
Citation:
M. Doller, H. Kosch, "Approximating the selectivity of multimedia range queries," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005
Usage of this product signifies your acceptance of the Terms of Use.