Content Based Image Identification on Cultural Databases 
Eduardo Valle, ETIS - Equipes Traitement des Images et du Signal, France
Matthieu Cord, LIP6 UMPC, France
Sylvie Phillipp-Foliguet, ETIS - Equipe de Traitement des Images et du Signal, France
http://www-etis.ensea.fr/
Cultural institutions are often asked to perform the identification of images in newspapers, thesis and even postcards, where the references are too summary, missing or incorrect - in those cases, the visual data is the only reliable evidence for the identification. Image identification is challenging, because of the transformations the query image may have suffered: which include cropping, rotations, scale changes, etc. In this work we describe an automatic, content-based, system for image identification based on local descriptors. The indexing scheme we have developed allows the use of those descriptors without the long processing times normally associated to them.
Demonstration: Demonstrations [Close-Up]
Keywords: image identification, image retrieval, CBIR, copyright, image databases, local descriptors
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