Graph-Based Indexing and Querying on Image Corpora with Unified Visual Semantic and Relational Descriptions
Mohammed Belkhatir
School of Information Technology, Monash University
Belkhatir.mohammed@infotech.monash.edu
Abstract. We propose in this paper to integrate the semantic description of the image and the relational characterization of its components through an architecture which follows a sharp process for generating image index and query representations and computing their correspondence. This architecture relies on an expressive representation formalism handling high-level image descriptions and a conceptual query framework in an attempt to operate image indexing and retrieval operations beyond keyword-based and loosely-coupled state-of-the-art systems. At the experimental level, we evaluate its retrieval performance through recall and precision indicators on a test collection of 2500 color photographs.
LNCS 4822, p. 196 ff. Full article in PDF |
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