Towards Ontology Based Cognitive Vision

This paper details a visual concept ontology driven knowledge acquisition methodology. We propose to use a visual concept ontology to guide experts in the visual description of the objects of their domain (e.g. pollen grain). The proposed knowledge acquisition process results in a knowledge base which can be used by a knowledge based vision system. An important benefit of our approach is that the knowledge acquisition process guided by the ontology leads to a knowledge base close to lowlevel vision. A visual concept ontology and a dedicated knowledge acquisition tool have been developed and are presented. We propose a generic methodology that is not linked to any application domain. An example shows how the knowledge acquisition model can be applied to the description of pollen grain images.

• Type: Conference
• Year: 2003
• Where: ICVS
• Authors: Nicolas Maillot, Monique Thonnat, Alain Boucher
• Keywords: ICVS 2003, Knowledge Acquisition, Knowledge Acquisition Process, Visual Concept Ontology