Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation

Ludovic Dos Santos 1 Benjamin Piwowarski 2 Patrick Gallinari 1
1 MLIA - Machine Learning and Information Access
LIP6 - Laboratoire d'Informatique de Paris 6
2 BD - Bases de Données
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : We address the tasks of image classification and tagging through a transductive approach that automatically learns to project the different images onto a common latent space. This learned representation is then used to classify the images. We construst a graph between images and concepts using the deep representations given by ImageCLEF and WordNet database, and we exploit the idea that two connected nodes will tend to have a similar latent representation. This assumption allows us to learn correlations between the labels of connected images.
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Conference papers
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https://hal.sorbonne-universite.fr/hal-01358685
Contributor : Benjamin Piwowarski <>
Submitted on : Thursday, September 1, 2016 - 11:25:39 AM
Last modification on : Thursday, March 21, 2019 - 1:00:15 PM

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  • HAL Id : hal-01358685, version 1

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Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari. Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. CLEF 2015 - Conference and Labs of the Evaluation forum, Sep 2015, Toulouse, France. ⟨hal-01358685⟩

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