High efficiency video coding (HEVC) greatly outperforms previous standards H. 264/AVC in
terms of coding bit rate and video quality. However, it does not take into account the human …

One major branch of bottom-up salient object detection methods is machine learning-based
methods which learn to classify salient object (positive) and background (negative) based …

This chapter clarifies the concept and the usage of visual attention in multimedia
applications. Visual attention modeling has been the focus of many research efforts in the …

This paper presents a co-salient object detection method to find common salient regions in a
set of images. We utilize deep saliency networks to transfer co-saliency prior knowledge and …

Although two-stage methods have favorably improved the accuracy and robustness of
saliency detection, obtaining a saliency map with clear foreground boundaries and fine …

In this paper, we propose a novel bottom-up saliency detection algorithm to effectively detect
salient objects. Different from most existing methods that are not robust to complex scenes …

In this paper, we present a salient object detection method based on novel graph structure.
Given image is segmented into small image regions as basic units, we firstly construct an …

Graph-based salient object detection methods have gained more and more attention
recently. However, existing works fail to separate effectively salient object and background …

Graph-based semi-supervised learning has received considerable attention in machine
learning community. The performance of existing methods highly depends on the input …

Propagation-based methods have attracted more and more attention in saliency detection.
We present a propagation-based saliency detection framework to overcome some …