DocumentCode :
3125406
Title :
Improvement of Image Retrieval by Fusing Different Descriptors
Author :
Macedonas, A. ; Fotopoulos, S. ; Economou, G.
Author_Institution :
Univ. of Patras, Rio-Patras
fYear :
2007
fDate :
6-8 June 2007
Firstpage :
75
Lastpage :
75
Abstract :
A method for optimized image similarity measurement based on fusion of image descriptors is introduced. Descriptors of every kind can be used. The method is based on the nonparametric Wald - Wolfowitz (WW) statistical test, and the corresponding similarity measure, which is very well suited for that purpose. A simple addition of the above WW based similarity measures is the fusion rule proposed here. Experimental results in image retrieval task are very promising.
Keywords :
image fusion; image retrieval; Wald-Wolfowitz statistical test; image descriptor fusion; image fusion; image retrieval; Feature extraction; Image retrieval; Laboratories; MPEG 7 Standard; Measurement standards; Optimization methods; Physics; Protocols; Shape; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2007. WIAMIS '07. Eighth International Workshop on
Conference_Location :
Santorini
Print_ISBN :
0-7695-2818-X
Electronic_ISBN :
0-7695-2818-X
Type :
conf
DOI :
10.1109/WIAMIS.2007.52
Filename :
4279183
Link To Document :
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