ROBUSTNESS AND REPEATABILITY OF SALIENCY MODELS SUBJECTED TO VISUAL DEGRADATIONS

Olivier Le Meur 1
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : The present study investigates the sensitivity of computationnal models of visual attention when subjected to visual degradations. One hundred and twenty natural color pictures were degraded using 6 filtering operations. By using different settings, five state-of-the-art models are used to compute 11400 saliency maps. The comparison of these maps to human saliency maps indicates that the tested models are robust to most of the visual degradations they were subjected to. These findings have implications on saliency-based applications, such as quality assessment and coding. A last point concerns the high repeatability of saliency models that might be used in a context of image retrieval.
Type de document :
Communication dans un congrès
ICIP, Sep 2011, Brussel, Belgium. 2011
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https://hal.inria.fr/inria-00628072
Contributeur : Olivier Le Meur <>
Soumis le : vendredi 30 septembre 2011 - 13:13:32
Dernière modification le : mercredi 16 mai 2018 - 11:23:05
Document(s) archivé(s) le : samedi 31 décembre 2011 - 02:30:14

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  • HAL Id : inria-00628072, version 1

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Olivier Le Meur. ROBUSTNESS AND REPEATABILITY OF SALIENCY MODELS SUBJECTED TO VISUAL DEGRADATIONS. ICIP, Sep 2011, Brussel, Belgium. 2011. 〈inria-00628072〉

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