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Communication Dans Un Congrès Année : 2008

UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine

Résumé

In this paper, we present the LIP6 retrieval system which automatically ranks the most similar images to a given query constituted of both textual and/or visual information through a given textual-visual collection. The system first preprocesses the data set in order to remove stop-words as well as non-informative terms. For each given query, it then finds a ranked list of its most similar images using only their textual informations. Visual features are then used to obtain a second ranking list from a manifold and a linear combination of these two ranking lists gives the final ranking of images.
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Dates et versions

hal-01301594 , version 1 (12-04-2016)

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  • HAL Id : hal-01301594 , version 1

Citer

Ali Fakeri-Tabrizi, Massih-Reza Amini, Sabrina Tollari, Patrick Gallinari. UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine. Working Notes for the CLEF 2008 workshop, Sep 2008, Aarhus, Denmark. ⟨hal-01301594⟩
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