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 …

Visual saliency analysis detects salient regions/objects that attract human attention in
natural scenes. It has attracted intensive research in different fields such as computer vision …

Three-dimensional video content has attracted much attention in both the cinema and
television industries, because 3D is considered to be the next key feature that can …

Given the current profusion of devices for viewing media, video content created at one
aspect ratio is often viewed on displays with different aspect ratios. Many previous solutions …

We present a novel approach to optimally retarget videos for varied displays with differing
aspect ratios by preserving salient scene content discovered via eye tracking. Our algorithm …

The proliferation of mobile devices and social media has revolutionized content
dissemination, with short-form video becoming increasingly prevalent. This shift has …

Video salient object ranking aims to simulate the human attention mechanism by
dynamically prioritizing the visual attraction of objects in a scene over time. Despite its …

Assessing media retargeting results is not a trivial issue. When resizing one image to a
particular percentage of its original size, some content has to be removed, which may affect …

Eye tracking methods are usually focused on obtaining the highest spatial precision as
possible, locating the centre of the pupil and the point of gaze for a series of frames …

A purely bottom-up model of visual attention is proposed and compared to five state-of-the-
art models. The role of the low-level visual features is examined in two contexts. Two …