Abstract : This paper reports our multimedia information retrieval experiments carried out for the ImageCLEF track 2009. In 2008, we proposed a multimedia document model defined as a vector of textual and visual terms weighted using a tf.idf approch [5]. For our second participation, our goal was to improve this previous model in the following ways: 1) use of additional information for the textual part (legend and image bounding text extracted from the original documents, 2) use of different image detectors and descriptors, 3) new text / image combination approach. Results allow to evaluate the benefits of these different improvements.
https://hal-ujm.archives-ouvertes.fr/ujm-00432319
Contributeur : Christophe Moulin
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Soumis le : lundi 16 novembre 2009 - 10:49:21
Dernière modification le : jeudi 11 janvier 2018 - 06:20:35
Document(s) archivé(s) le : jeudi 17 juin 2010 - 20:26:41
