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Empirical Validation of the Saliency-based Model of Visual Attention
Ouerhani, Nabil (University of Neuchatel (Suïssa). Institute of Microtechnology)
Wartburg, Roman von (University of Bern (Suïssa). Department of Neurology)
Hugli, Heinz (University of Neuchatel (Suïssa). Institute of Microtechnology)
Müri, René (University of Bern (Suïssa). Department of Neurology)

Data: 2004
Resum: Visual attention is the ability of the human vision system to detect salient parts of the scene, on which higher vision tasks, such as recognition, can focus. In human vision, it is believed that visual attention is intimately linked to the eye movements and that the fixation points correspond to the location of the salient scene parts. In computer vision, the paradigm of visual attention has been widely investigated and a saliency-based model of visual attention is now available that is commonly accepted and used in the field, despite the fact that its biological grounding has not been fully assessed. This work proposes a new method for quantitatively assessing the plausibility of this model by comparing its performance with human behavior. The basic idea is to compare the map of attention - the saliency map - produced by the computational model with a fixation density map derived from eye movement experiments. This human attention map can be constructed as an integral of single impulses located at the positions of the successive fixation points. The resulting map has the same format as the computer-generated map, and can easily be compared by qualitative and quantitative methods. Some illustrative examples using a set of natural and synthetic color images show the potential of the validation method to assess the plausibility of the attention model.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès.
Document: article ; recerca ; publishedVersion
Matèria: Visual Attention ; Saliency Map ; Empirical Validation ; Human Perception ; Eye Movements ; Atenció visual ; Mapa de notabilitat ; Mapa d'atenció Saliency ; Validació empírica ; Percepció humana ; Moviments oculars ; Atención visual ; Mapa de notabilidad ; Mapa de atención Saliency ; Validación empírica ; Percepción humana ; Movimientos oculares
Publicat a: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 3 n. 1 (2004) p. 13-24, ISSN 1577-5097

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