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
Contributor : Christophe Moulin
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Submitted on : Monday, November 16, 2009 - 10:49:21 AM
Last modification on : Wednesday, July 25, 2018 - 2:05:30 PM
Long-term archiving on : Thursday, June 17, 2010 - 8:26:41 PM
