Statistical modelling for image retrieval using a biological model of the perceptive colour space

Author

Dugué, Anne Guérin ; Biernacki, Christophe ; Hérault, Jeanny

Author_Institution

INRIA, Montbonnot Saint Martin, France

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

209

Abstract

Natural image retrieval is a main challenge for image indexing. In this domain, colour information is one of the most important features. We propose a perceptive colour space based on a biological model of the retina. In this space, a model of Gaussian mixture appears very efficient for colour distribution. Two strategies are presented, retrieval by maximum likelihood (i) on the global chromatic distribution, (ii) on the local spatio-chromatic distribution

Keywords

Gaussian processes; image colour analysis; image representation; image retrieval; indexing; maximum likelihood estimation; Gaussian mixture; biological model; colour distribution; colour information; global chromatic distribution; image indexing; image retrieval; local spatio-chromatic distribution; maximum likelihood; perceptive colour space; retina; statistical modelling; Biological system modeling; Histograms; Image coding; Image retrieval; Image segmentation; Indexing; Layout; Lighting; Photoreceptors; Retina;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958990

Filename

958990