Towards Ontology Based Cognitive Vision
LES AUTEURS Nicolas MAILLOT et Monique THONNAT
RESUME:
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 low-level 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.
Mots clé:
cognitive vision, ontological engineering, knowledge-based vision
Pour télécharger cet article,
cliquez
ici
BibTeX reference:
@ARTICLE{maillot04b,
AUTHOR = {Maillot, Nicolas, Thonnat, Monique and Boucher,Alain}
TITLE = {Towards Ontology Based Cognitive Vision},
JOURNAL = {Machine Vision and Applications (MVA)},
PUBLISHER={Springer-Verlag Heidelberg},
VOLUME = {16},
NUMBER = {1},
PAGES= {33-40},
MONTH= {December},
YEAR = {2004}
}
Dernière mise à jour :
3/12/04
Catherine.Martin@sophia.inria.fr