Une approche sémantique basée sur l'apprentissage pour la recherche d'image par contenu

Multimedia databases are witnessing an exponential growth. Information retrieval in these data collections, especially in images, becomes a hard task. Furthermore, there is a difficulty in indexing these data since the present techniques don’t allow an efficient description of the content of images. In this paper, we focus on knowledge discovery in images database and we propose a new semantic approach for image indexation. Our approach is based on learning of distributions to map low level features to high level concepts. MOTS-CLÉS : Fouille d’image, indexation et recherche d’image, RImC, attributs d’image, reconnaissance d’objet, segmentation d’image.