| HAL : hal-00620916, version 1 |
| Fiche détaillée | Récupérer au format |
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| 19th European Signal Processing Conference (EUSIPCO 2011), Barcelonne : Espagne (2011) |
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| Spatio-temporal fusion of visual attention model |
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| Anis Rahman 1Guanghan Song 1 |
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| CIBLE Région Rhône-Alpes Collaboration(s) |
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| (2011) |
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| The motivation behind a spatio-temporal visual saliency model is to extract salient information from two distinct pathways: static (intensity) and dynamic (motion). Consequently, the information from these pathways is combined to get the final visual saliency map. Since the response of the pathways is different, the step of combination of the maps is important. As a consequence, we study six recent fusion techniques against two video databases using human eye positions from an eye tracker. A criterion is used to evaluate and underline the significance of these fusion methods. |
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| 1 : | Grenoble Images Parole Signal Automatique (GIPSA-lab) |
| CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology | |
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| Domaine | : | Informatique/Traitement des images |
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| Visual saliency – Spatio-temporal model – Fusion – Eye tracker |
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| Liste des fichiers attachés à ce document : | ||||||||||
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| hal-00620916, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00620916 | |
| oai:hal.archives-ouvertes.fr:hal-00620916 | |
| Contributeur : Rahman Anis | |
| Soumis le : Vendredi 9 Septembre 2011, 10:28:48 | |
| Dernière modification le : Vendredi 16 Septembre 2011, 16:25:45 | |