Abductive reasoning using tableau methods for high-level image interpretation - Archive ouverte HAL
Communication Dans Un Congrès Année : 2015

Abductive reasoning using tableau methods for high-level image interpretation

Résumé

Image interpretation is a dynamic research domain involving not only the detection of objects in a scene but also the semantic description considering context information in the whole scene. Image interpretation problem can be formalized as an abductive reasoning problem, i.e. an inference to the best explanation using a background knowledge. In this work, we present a framework using a tableau method for generating and selecting potential explanations of the given image when the background knowledge is encoded using a description that is able to handle spatial relations.

Mots clés

Fichier non déposé

Dates et versions

hal-01464864 , version 1 (10-02-2017)

Identifiants

Citer

Yifan Yang, Jamal Atif, Isabelle Bloch. Abductive reasoning using tableau methods for high-level image interpretation. 38th Annual German Conference on AI, Sep 2015, Dresden, Germany. pp.356-365, ⟨10.1007/978-3-319-24489-1_34⟩. ⟨hal-01464864⟩
147 Consultations
0 Téléchargements

Altmetric

Partager

More