论文信息 - An Approach to Semantic Content Based Image Retrieval Using Logical Concept Analysis

An Approach to Semantic Content Based Image Retrieval Using Logical Concept Analysis

In this paper, we present an ongoing work aiming to improve content based image retrieval performance with the help of logical concept analysis. Domain semantic is formalized and used instead of classical CBIR visual features. This is being applied to comicbooks using Sewelis.

[1] Peter Stanchev,et al. High Level Color Similarity Retrieval , 2003 .

[2] O. Ridoux,et al. Introduction to logical information systems , 2004, Inf. Process. Manag..

[3] Bernhard Ganter,et al. Formal Concept Analysis: Mathematical Foundations , 1998 .

[4] Sébastien Ferré,et al. Semantic Search: Reconciling Expressive Querying and Exploratory Search , 2011, SEMWEB.

[5] Karell Bertet,et al. Ontologies et relations spatiales dans la lecture d'une bande dessinée , 2012, IC.

[6] Ying Liu,et al. Region-Based Image Retrieval with Perceptual Colors , 2004, PCM.

[7] Michael G. Strintzis,et al. An ontology approach to object-based image retrieval , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[8] Neill W. Campbell,et al. Iterative refinement by relevance feedback in content-based digital image retrieval , 1998, MULTIMEDIA '98.

[9] Claudio Carpineto,et al. Concept data analysis - theory and applications , 2004 .