Concept Propagation Based on Visual Similarity. Application to Medical Image Annotation

Jean-Pierre Chevallet 1 Nicolas Maillot 2 Joo-Hwee Lim 2, 3
1 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : This paper presents an approach for image annotation propagation to images which have no annotations. In some specific domains, the assumption that visual similarity implies (partial) semantic similarity can be made. For instance, in medical imaging, two images of the same anatomic part in a given modality have a very similar appearance. In the proposed approach, a conceptual indexing phase extracts concepts from texts; a visual similarity between images is computed and then combined with conceptual text indexing. Annotation propagation driven by prior knowledge on the domain is finally performed. Domain knowledge used is a meta-thesaurus for both indexing and annotations propagation. The proposed approach has been applied on the imageCLEF medical image collection.
Type de document :
Communication dans un congrès
Third Asia Information Retrieval Symposium, AIRS 2006, Poster Session, 2006, Unknown, Singapore. pp.514--521, 2006
Liste complète des métadonnées

https://hal.inria.fr/hal-00953899
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 16:03:44
Dernière modification le : mardi 24 avril 2018 - 13:29:33

Identifiants

  • HAL Id : hal-00953899, version 1

Collections

Citation

Jean-Pierre Chevallet, Nicolas Maillot, Joo-Hwee Lim. Concept Propagation Based on Visual Similarity. Application to Medical Image Annotation. Third Asia Information Retrieval Symposium, AIRS 2006, Poster Session, 2006, Unknown, Singapore. pp.514--521, 2006. 〈hal-00953899〉

Partager

Métriques

Consultations de la notice

169