Skip to Main content Skip to Navigation
Conference papers

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
2 IPAL - Image & Pervasive Access Lab
3 Institute for Infocomm Research - I²R [Singapore]
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.
Keywords : Conceptual Indexing Annotation Propagation Visual Similarity
Document type :
Conference papers
Complete list of metadata
https://hal.inria.fr/hal-00953899
Contributor : Marie-Christine Fauvet <>
Submitted on : Friday, February 28, 2014 - 4:03:44 PM
Last modification on : Tuesday, December 8, 2020 - 10:42:46 AM

Identifiers

  • HAL Id : hal-00953899, version 1

Collections

CNRS | LIG_TDCGE_MRIM | IPAL | SORBONNE-UNIVERSITE | LIG | SU-SCIENCES | UGA

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. ⟨hal-00953899⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

206

 

Contact                    Legal Notice                    Personal Data