Five important trends have emerged from recent work on computational models of focal
visual attention that emphasize the bottom-up, image-based control of attentional …

Abstract Models of gaze allocation in complex scenes are derived mainly from studies of
static picture viewing. The dominant framework to emerge has been image salience, where …

Visual saliency is a fundamental problem in both cognitive and computational sciences,
including computer vision. In this paper, we discover that a high-quality visual saliency …

Saliency estimation has become a valuable tool in image processing. Yet, existing
approaches exhibit considerable variation in methodology, and it is often difficult to attribute …

Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …

Automatic estimation of salient object regions across images, without any prior assumption
or knowledge of the contents of the corresponding scenes, enhances many computer vision …

We present a novel spatiotemporal saliency detection method to estimate salient regions in
videos based on the gradient flow field and energy optimization. The proposed gradient flow …

Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …

▪ Abstract It has long been assumed that sensory neurons are adapted, through both
evolutionary and developmental processes, to the statistical properties of the signals to …

In human vision, acuity and color sensitivity are best at the point of fixation, and the visual-
cognitive system exploits this fact by actively controlling gaze to direct fixation towards …