Add to ORKGA novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized by a set of binary images, which are generated by randomly thresholding the image’s color channels. Based on a Gestalt principle of figure-ground segregation, BMS computes saliency maps by analyzing the topological structure of Boolean maps. BMS is simple to implement and efficient to run. Despite its simplicity, BMS consistently achieves state-of-the-art performance compared with ten leading methods on five eye tracking datasets. Furthermore, BMS is also shown to be advantageous in salient object detection. 1
Under natural viewing conditions humans tend to fixate on specific parts of the image that interests...
Computationally detecting salient object from confusing background is most important in computer vis...
Abstract—This paper proposes an algorithm for accurate detection of salient areas from a given scene...
We demonstrate the usefulness of surroundedness for eye fixation prediction by proposing a Boolean M...
Visual saliency computation is about detecting and understanding salient regions and elements in a v...
The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. H...
Narayan V, Tscherepanow M, Wrede B. A saliency map based on sampling an image into random rectangula...
Narayan V, Tscherepanow M, Wrede B. Integrating habituation into saliency maps. In: Proceedings of ...
In this work we develop a fast saliency detection method that can be applied to any differentiable i...
In this paper, we propose a graph-based multiscale saliency-detection algorithm by modeling eye move...
In the first seconds of observation of an image, several visual attention processes are involved in ...
As a challenging issue in both computer vision and psychological research, visual attention has arou...
Predictive applications of human eye visualization so called saliency map computational models becom...
Visual Saliency aims to detect the most important regions of an image from a perceptual point of vie...
Task: detect salient objects We present a computational attention system that quickly detects salien...
Under natural viewing conditions humans tend to fixate on specific parts of the image that interests...
Computationally detecting salient object from confusing background is most important in computer vis...
Abstract—This paper proposes an algorithm for accurate detection of salient areas from a given scene...
We demonstrate the usefulness of surroundedness for eye fixation prediction by proposing a Boolean M...
Visual saliency computation is about detecting and understanding salient regions and elements in a v...
The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. H...
Narayan V, Tscherepanow M, Wrede B. A saliency map based on sampling an image into random rectangula...
Narayan V, Tscherepanow M, Wrede B. Integrating habituation into saliency maps. In: Proceedings of ...
In this work we develop a fast saliency detection method that can be applied to any differentiable i...
In this paper, we propose a graph-based multiscale saliency-detection algorithm by modeling eye move...
In the first seconds of observation of an image, several visual attention processes are involved in ...
As a challenging issue in both computer vision and psychological research, visual attention has arou...
Predictive applications of human eye visualization so called saliency map computational models becom...
Visual Saliency aims to detect the most important regions of an image from a perceptual point of vie...
Task: detect salient objects We present a computational attention system that quickly detects salien...
Under natural viewing conditions humans tend to fixate on specific parts of the image that interests...
Computationally detecting salient object from confusing background is most important in computer vis...
Abstract—This paper proposes an algorithm for accurate detection of salient areas from a given scene...