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Un modèle générique multi-niveaux pour la recherche d’image par le contenu

A multi-level generic model for content image retrieval

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Résumé

Dans cet article nous proposons un modèle générique pour la description du contenu de l’image. Le modèle est basé sur plusieurs niveaux d’informations. Chaque niveau est appelé vue et concerne une classe d’informations. Nous distinguons trois types de vues: les vues concepts, relations et interprétation. Les vues concepts et relations permettent de définir respectivement, des concepts et des relations calculables automatiquement et ne nécessitant aucune interprétation particulière. La vue interprétation concerne le sens ou l’interprétation du contenu de l’image. Le nombre, la nature et le contenu de chaque vue sont adaptables et peuvent varier selon le type d’application. Le modèle opérationnel est basé sur les graphes conceptuels emboîtés que nous avons étendus. Le modèle est implémenté et opérationnel et les résultats obtenus sont très encourageants.

Abstract

In this paper we propose a generic model for content image modelling. The model is based on several levels of information. Each level is called view and relates to a class of information. We distinguish three types of views: the concept, relation and interpretation views. The view concept or relation makes it possible to define respectively the concepts or the calculable relations automatically that do not require any particular interpretation. The view interpretation relates to the interpretation of the contents of the image. The number, the nature and the contents of each view are adaptable and can vary according to the type of application. The operational model is based on the nested conceptual graphs which we extended. The model is implemented and operational and the results obtained are very encouraging.

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Correspondence to Rachid Oulad Haj Thami.

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Oulad Haj Thami, R., Chaarani, H., Daoudi, M. et al. Un modèle générique multi-niveaux pour la recherche d’image par le contenu. Ann. Télécommun. 58, 630–655 (2003). https://doi.org/10.1007/BF03001032

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