An Ontology-Based Model for Representing Image Processing Objectives

Régis Clouard 1 Arnaud Renouf 1 Marinette Revenu 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : This paper investigates what kinds of information are necessary and sufficient to design and evaluate image processing software programs and proposes a representation of these information elements using a computational language performable by vision systems and understandable by experts. The language is built upon a formulation model which distinguishes the specification of a goal and the definition of an input image class. Goals are stated in terms of tasks together with result samples. Image classes are defined by both linguistic and iconic descriptions. The model is implemented as an OWL domain ontology which provides the primitives for the formulation language.
Keywords : Image Processing and Computer Vision Knowledge Acquisition Ontology Design
Type de document :
Article dans une revue
International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2010, 24 (8), pp.1181-1208. 〈10.1142/S0218001410008354〉
Liste complète des métadonnées

Littérature citée [49 références]  Voir  Masquer  Télécharger
https://hal.archives-ouvertes.fr/hal-00805699
Contributeur : Image Greyc <>
Soumis le : jeudi 28 mars 2013 - 16:09:06
Dernière modification le : mardi 5 juin 2018 - 10:14:42
Document(s) archivé(s) le : dimanche 2 avril 2017 - 22:12:58

Fichier

IJPRAI-2010.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

GREYC | GREYC-IMAGE | COMUE-NORMANDIE | ENSICAEN

Citation

Régis Clouard, Arnaud Renouf, Marinette Revenu. An Ontology-Based Model for Representing Image Processing Objectives. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2010, 24 (8), pp.1181-1208. 〈10.1142/S0218001410008354〉. 〈hal-00805699〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

237

Téléchargements de fichiers

1522

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD