UPMC/LIP6 at ImageCLEFannotation 2010 - Archive ouverte HAL Access content directly
Conference Papers Year :

UPMC/LIP6 at ImageCLEFannotation 2010


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.
No file

Dates and versions

hal-01288859 , version 1 (15-03-2016)


  • 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⟩
22 View
0 Download


Gmail Facebook Twitter LinkedIn More