Paper Info
Title
Multivariate texture retrieval using the Kullback-Leibler divergence between bivariate generalized Gamma times an Uniform distribution
Abstract
This paper presents a new multivariate elliptical distribution, namely the multivariate generalized Gamma times an Uniform (MGΓU) distribution. Because it generalizes the multivariate generalized Gaussian distribution (MGGD), the MGΓU distribution is able to fit a wider range of signals. For the bivariate case, we provide a closed-form of the KullbackLeibler divergence (KLD). We propose the MGΓU distribution for modeling chrominance wavelet coefficients and exercise it in a texture retrieval experiment. A comparative study between some multivariate models on the VisTex and Outex image database is conducted and reveals that the use of the MGΓU distribution of chromiance wavelet coefficient allows an indexing gain compared to other classical approaches such as MGGD and Copula based model).
Year
DOI
Venue
2012
10.1109/ICIP.2012.6467384
Image Processing
Keywords
Field
DocType
Gaussian distribution,gamma distribution,image retrieval,image texture,visual databases,Kullback-Leibler divergence,MGΓU distribution,MGGD,Outex image database,VisTex image database,bivariate generalized gamma times,multivariate elliptical distribution,multivariate generalized Gaussian distribution,multivariate generalized gamma times an uniform distribution,multivariate texture retrieval,Kullback-Leibler divergence,Multivariate elliptical distribution,Texture,image retrieval
Multivariate t-distribution,Matrix normal distribution,Pattern recognition,Generalized integer gamma distribution,Univariate distribution,Artificial intelligence,Statistics,Inverse-Wishart distribution,Wishart distribution,Normal-Wishart distribution,Mathematics,Matrix t-distribution
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4673-2532-5
978-1-4673-2532-5
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Lionel Bombrun115020.59
Y. Berthoumieu238951.66