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Communication Dans Un Congrès Année : 2011

Spatio-temporal fusion of visual attention model

Résumé

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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Dates et versions

hal-00620916 , version 1 (09-09-2011)

Identifiants

  • HAL Id : hal-00620916 , version 1

Citer

Anis Rahman, Guanghan Song, Denis Pellerin, Dominique Houzet. Spatio-temporal fusion of visual attention model. EUSIPCO 2011 - 19th European Signal Processing Conference, Aug 2011, Barcelone, Spain. pp.2029-2033. ⟨hal-00620916⟩
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