The Outline of an 'Intelligent' Image Retrieval Engine

Mohammed Belkhatir 1 Philippe Mulhem 1 Yves Chiaramella 1
1 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : The first image retrieval systems hold the advantage of being fully automatic, and thus scalable to large collections of images but are restricted to the representation of low-level aspects (e.g. colors, textures...) without considering the semantic content of images. This obviously compromises interaction, making it difficult for a user to query with precision. The growing need for 'intelligent' systems, i.e. being capable of bridging this semantic gap, leads to new architectures combining multiple characterizations of the image content. This paper presents SIR1, a promising high-level framework featuring semantics, signal color and spatial characterizations. It features a fully-textual query module based on a language manipulating both boolean and quantification operators, therefore making it possible for a user to request elaborate image scenes such as a "covered(mostly grey) sky" or "people in front of a building".
Type de document :
Communication dans un congrès
ICWI, 2004, Madrid, 2004
Liste complète des métadonnées

Littérature citée [14 références]  Voir  Masquer  Télécharger
Contributeur : Marie-Christine Fauvet <>
Soumis le : lundi 3 mars 2014 - 11:24:55
Dernière modification le : jeudi 11 octobre 2018 - 08:48:04
Document(s) archivé(s) le : samedi 31 mai 2014 - 10:51:07


Fichiers produits par l'(les) auteur(s)


  • HAL Id : hal-00953927, version 1



Mohammed Belkhatir, Philippe Mulhem, Yves Chiaramella. The Outline of an 'Intelligent' Image Retrieval Engine. ICWI, 2004, Madrid, 2004. 〈hal-00953927〉



Consultations de la notice


Téléchargements de fichiers