A CBIR-framework: using both syntactical and semantical information for image description

Content-based image retrieval systems can use classification or indexing based on syntactical and/or semantic features of images. We aim at providing a framework, which can be instantiated for each specific application: a framework, which combines syntactical and semantic information for image description. We believe that a model, which integrates syntactical and semantic 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.