Towards Ontology Based Cognitive Vision

  • Nicolas Maillot
  • Monique Thonnat
  • Alain Boucher
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2626)

Abstract

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.

Keywords

cognitive vision ontological engineering knowledge-based vision systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Nicolas Maillot
    • 1
  • Monique Thonnat
    • 1
  • Alain Boucher
    • 1
  1. 1.INRIA Sophia Antipolis - Orion TeamSophia AntipolisFrance

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