International audienceThe computational modelling of visual attention relies entirely on visual fixations that are collected during eye-tracking experiments. Although all fixations are assumed to follow the same attention paradigm, some studies suggest the existence of two visual processing modes, called ambient and focal. In this paper, we present the high discrepancy between focal and ambient saliency maps and propose an automatic method for inferring the degree of focalness of an image. This method opens new avenues for the computational modelling of saliency models and their benchmarking
Saliency maps provide a biologically plausible model of visual attention based on par-allel preatten...
By visual attention process biological and machine vision systems are able to select the most releva...
Saliency maps produced by different algorithms are often evaluated by comparing output to fixated im...
International audienceThe computational modelling of visual attention relies entirely on visual fixa...
International audienceOvert visual attention is the act of directing the eyes toward a given area. T...
Visual attention is the ability of the human vision system to detect salient parts of the scene, on ...
International audienceOvert visual attention is the act of directing eyes towards a given area. Thes...
A novel low-complexity visual saliency detection algorithm for detecting salient regions in images i...
The field of computational saliency modelling has its origins in psychophysical studies of visual se...
Inspired by the primate visual system, computational saliency models decompose visual input into a s...
International audienceIn this article, we are interested in the computational modeling of visual att...
Visual Saliency aims to detect the most important regions of an image from a perceptual point of vie...
International audienceA computational model of visual attention using visual inferences is proposed....
Computational modeling of visual attention has been a very active area over the past few decades. Nu...
Yu, JingyiHuman Attention Simulation is a long-standing problem in computer vision area. Researchers...
Saliency maps provide a biologically plausible model of visual attention based on par-allel preatten...
By visual attention process biological and machine vision systems are able to select the most releva...
Saliency maps produced by different algorithms are often evaluated by comparing output to fixated im...
International audienceThe computational modelling of visual attention relies entirely on visual fixa...
International audienceOvert visual attention is the act of directing the eyes toward a given area. T...
Visual attention is the ability of the human vision system to detect salient parts of the scene, on ...
International audienceOvert visual attention is the act of directing eyes towards a given area. Thes...
A novel low-complexity visual saliency detection algorithm for detecting salient regions in images i...
The field of computational saliency modelling has its origins in psychophysical studies of visual se...
Inspired by the primate visual system, computational saliency models decompose visual input into a s...
International audienceIn this article, we are interested in the computational modeling of visual att...
Visual Saliency aims to detect the most important regions of an image from a perceptual point of vie...
International audienceA computational model of visual attention using visual inferences is proposed....
Computational modeling of visual attention has been a very active area over the past few decades. Nu...
Yu, JingyiHuman Attention Simulation is a long-standing problem in computer vision area. Researchers...
Saliency maps provide a biologically plausible model of visual attention based on par-allel preatten...
By visual attention process biological and machine vision systems are able to select the most releva...
Saliency maps produced by different algorithms are often evaluated by comparing output to fixated im...