Abstract Content-Aware Image Retargeting (CAIR) techniques are important in multimedia
applications for displaying images on various display devices. This paper first provides a …

The objective of this paper is twofold. First, we introduce an effective region-based solution
for saliency detection. Then, we apply the achieved saliency map to better encode the image …

This paper proposes a novel depth-aware salient object detection and segmentation
framework via multiscale discriminative saliency fusion (MDSF) and bootstrap learning for …

This paper proposes an effective spatiotemporal saliency model for unconstrained videos
with complicated motion and complex scenes. First, superpixel-level motion and color …

This paper proposes a novel saliency detection framework termed as saliency tree. For
effective saliency measurement, the original image is first simplified using adaptive color …

We propose a principled probabilistic formulation of object saliency as a sampling problem.
This novel formulation allows us to learn, from a large corpus of unlabelled images, which …

Abstract Salient Object Detection (SOD) in natural images is an active research area with
burgeoning applications across diverse disciplines such as object recognition, image …

Saliency detection aims at quantitatively predicting attended locations in an image. It may
mimic the selection mechanism of the human vision system, which processes a small subset …

A large number of saliency models, each based on a different hypothesis, have been
proposed over the past 20 years. In practice, while subscribing to one hypothesis or …

The recent advance on saliency models has remarkably improved performance due to the
pervasive application of deep convolutional neural networks. However, for more challenging …