International audienceThe present paper studies the potential synergies between a popular approach in saliency extraction - FIT (feature integration theory) and source coding principles. By combining these two approaches, a new saliency model, extracted directly at the HEVC steam syntax elements level is defined. The experiments confront the new model to the human saliency, captured by eye-tracking devices. They consider a reference corpus representing density fixation maps, two objective criteria, two objective measures and 7 state-of-the-art saliency models (3 acting in pixel domain and 4 acting in compressed domain
A number of computational models of visual attention have been proposed based on the concept of sali...
The field of computational saliency modelling has its origins in psychophysical studies of visual se...
In psychology, visual saliency is the study of how the human visual system collects, processes, and ...
International audienceThe present paper studies the potential synergies between a popular approach i...
International audienceThis paper investigates whether the information related to the human visual sa...
The theoretical ground for visual saliency was established some 35 years ago by Treisman who advance...
Visual saliency is the propensity of a part of the scene to attract attention. Computational modelin...
An efficient modified video compression HEVC technique based on high quality assessment saliency fea...
As a challenging issue in both computer vision and psychological research, visual attention has arou...
Our understanding of the human visual system has advanced significantly over the past quarter-centur...
International audienceVisual saliency maps already proved their efficiency in a large variety of ima...
The development of a model of human vision is dependent on the choice of which experimental observat...
Computational model of image saliency plays an important role for vision tasks such as visual search...
A visual attention mechanism is believed to be responsible for the most informative spots in complex...
The predictions of 13 computational bottom-up saliency models and a newly introduced Multiscale Cont...
A number of computational models of visual attention have been proposed based on the concept of sali...
The field of computational saliency modelling has its origins in psychophysical studies of visual se...
In psychology, visual saliency is the study of how the human visual system collects, processes, and ...
International audienceThe present paper studies the potential synergies between a popular approach i...
International audienceThis paper investigates whether the information related to the human visual sa...
The theoretical ground for visual saliency was established some 35 years ago by Treisman who advance...
Visual saliency is the propensity of a part of the scene to attract attention. Computational modelin...
An efficient modified video compression HEVC technique based on high quality assessment saliency fea...
As a challenging issue in both computer vision and psychological research, visual attention has arou...
Our understanding of the human visual system has advanced significantly over the past quarter-centur...
International audienceVisual saliency maps already proved their efficiency in a large variety of ima...
The development of a model of human vision is dependent on the choice of which experimental observat...
Computational model of image saliency plays an important role for vision tasks such as visual search...
A visual attention mechanism is believed to be responsible for the most informative spots in complex...
The predictions of 13 computational bottom-up saliency models and a newly introduced Multiscale Cont...
A number of computational models of visual attention have been proposed based on the concept of sali...
The field of computational saliency modelling has its origins in psychophysical studies of visual se...
In psychology, visual saliency is the study of how the human visual system collects, processes, and ...