Inspired by the effectiveness of global priors for 2D saliency analysis, this paper aims to
explore those particular to RGB-D data. To this end, we propose two priors, which are the …

Many saliency detection models for 2D images have been proposed for various multimedia
processing applications during the past decades. Currently, the emerging applications of …

Many computational models of visual attention performing well in predicting salient areas of
2D images have been proposed in the literature. The emerging applications of stereoscopic …

In this paper we introduce a novel Depth-Aware Video Saliency approach to predict human
focus of attention when viewing videos that contain a depth map (RGBD) on a 2D screen …

3D visual attention plays an important role in both human and robotics perception that yet
has to be explored in full detail. However, the majority of computer vision and robotics …

Three-dimensional (3-D) visual comfort assessment (VCA) is a particularly important and
challenging topic, which involves automatically predicting the degree of visual comfort in line …

Most previous studies on visual saliency focused on two-dimensional (2D) scenes. Due to
the rapidly growing three-dimensional (3D) video applications, it is very desirable to know …

This paper presents recommended techniques for choosing video sequences for subjective
experiments. Subjective video quality assessment is a well-understood field, yet scene …

In this paper, we propose a new saliency based stereoscopic image retargeting method
based on the characteristics of the Human Visual System (HVS). A new stereoscopic …

Stereoscopic image retargeting aims at converting stereoscopic images to the target
resolution adaptively. Different from 2D image retargeting, stereoscopic image retargeting …