Title :
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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958990
