Photograph indexing and retrieval using star-graphs

Jean Martinet 1 Yves Chiaramella 2 Philippe Mulhem 3 Iadh Ounis 4
1 LIFL - FOX MIIRE
LIFL - Laboratoire d'Informatique Fondamentale de Lille
3 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : We present in this paper a relational approach for indexing and retrieving photographs from a collection. Instead of using simple keywords as an indexing language, we propose to use star-graphs as document descriptors. A star-graph is a conceptual graph that contains a single relation, with some concepts linked to it. They are elementary pieces of information describing combinations of concepts. We use star-graphs as descriptors - or index terms - for image content representation. This allows for relational indexing and expression of complex user needs, in comparison to classical text retrieval, where simple keywords are generally used as document descriptors. We present a document representation model, a weighting scheme for star-graphs inspired by the tf.idf used in text retrieval. We have applied our model to image retrieval, and show the system evaluation results.
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Communication dans un congrès
Third International Workshop on Content-Based Multimedia Indexing (CBMI'03), 2003, Rennes, France. pp.335--341, 2003
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  • HAL Id : hal-00953932, version 1

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Jean Martinet, Yves Chiaramella, Philippe Mulhem, Iadh Ounis. Photograph indexing and retrieval using star-graphs. Third International Workshop on Content-Based Multimedia Indexing (CBMI'03), 2003, Rennes, France. pp.335--341, 2003. 〈hal-00953932〉

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