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 …

Systems based on bag-of-words models from image features collected at maxima of sparse
interest point operators have been used successfully for both computer visual object and …

The human visual system (HVS) can reliably perceive salient objects in an image, but, it
remains a challenge to computationally model the process of detecting salient objects …

Saliency models have been frequently used to predict eye movements made during image
viewing without a specified task (free viewing). Use of a single image set to systematically …

Human action recognition is valuable for numerous practical applications, eg, gaming, video
surveillance, and video search. In this paper we hypothesize that the classification of actions …

Recently, some global contrast-based salient region detection models have been proposed
based on only the low-level feature of color. It is necessary to consider both color and …

In this study, the link between quantum mechanics and graph-cuts is exploited and a novel
saliency map generation and salient object segmentation method is proposed based on the …

In this paper, we present a unified statistical framework for modeling both saccadic eye
movements and visual saliency. By analyzing the statistical properties of human eye …

Wireless capsule endoscopy (WCE) enables non-invasive visual inspection of the patients'
digestive tract. However, the huge number of images from the WCE has been a hurdle for …

This paper presents a novel computational model for saliency detection. The proposed
model utilizes feature level fusion method to integrate different kinds of visual features. The …