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Conference papers

UPMC/LIP6 at ImageCLEFannotation 2010

Abstract : In this paper, we present the LIP6 annotation models for the ImageCLEFannotation 2010 task. We study two methods to train and merge the results of different classifiers in order to improve annotation. In particular, we propose a multiview learning model based on a RankingSVM. We also consider the use of the tags matching the visual concept names to improve the scores predicted by the models. The experiments show the difficulty of merging several classifiers and also the interest to have a robust model able to merge relevant information. Our method using tags always improves the results.
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Contributor : Lip6 Publications <>
Submitted on : Tuesday, March 15, 2016 - 4:37:05 PM
Last modification on : Thursday, March 21, 2019 - 1:08:03 PM


  • HAL Id : hal-01288859, version 1


Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Patrick Gallinari. UPMC/LIP6 at ImageCLEFannotation 2010. Working Notes for CLEF 2010 Conference, Sep 2010, Padua, Italy. ⟨hal-01288859⟩



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