Towards Ontology Based Cognitive Vision

LES AUTEURS N. Maillot, M. Thonnat, A. Boucher

RESUME:

Building knowledge bases for knowledge-based vision systems is a difficult task. This paper aims at showing how an ontology composed of visual concepts can be used as a guide for describing
objects from a specific domain of interest. One of the most important benefits of our approach is that the knowledge acquisition process guided by the ontology leads to a knowledge base
closer to low-level vision. A visual concept ontology and a dedicated knowledge acquisition tool have been developed and are also presented. We propose a generic methodology that is not linked to
any application domain. Nevertheless, an example shows how the knowledge acquisition model can be applied to the description of pollen grain images. The use of an ontology for image description is the first step towards a complete cognitive vision system that will involve a learning layer.

Mots clé: cognitive vision, ontological engineering, knowledge-based vision systems

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BibTeX reference:Third International Conference On Computer Vision Systems (ICVS 2003), 
Graz, Austria, April 2003, 
LNCS 2626, pp.44-53, 
Springer-Verlag Berlin Heidelberg 2003

Dernière mise à jour : 21/07/03
Catherine.Martin@sophia.inria.fr