Seventh International Database Engineering and Applications Symposium (IDEAS'03) A CBIR-Framework: Using both Syntactical and Semantical Information for Image Description Hong Kong, SAR July 16-July 18 ISBN: 0-7695-1981-4
Content-based image retrieval systems can use classification or indexing based on syntactical and/or semantical features of images. We aim at providing a framework which can be instantiated for each speci.c application: a framework which combines syntactical and semantical information for image description. We believe that a model which integrates syntatical and semantical descriptions, together with its similarity measure between images, is the core of such a framework. In this paper, we propose an integrated model with two example applications on which expressiveness of our model have been tested.
Citation:
Laurent Besson, Arnaud Da Costa, Eric Leclercq, Marie-Noélle Terrasse, "A CBIR-Framework: Using both Syntactical and Semantical Information for Image Description," ideas, pp.385, Seventh International Database Engineering and Applications Symposium (IDEAS'03), 2003 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||