A global searching solution was often employed in traditional prior-knowledge-based
regions of interest (ROIs) detection methods for processing high-resolution remote sensing …

In this letter, a novel salient region detection approach is proposed. Firstly, color contrast cue
and color distribution cue are computed by exploiting patch level and region level image …

A multi-scale statistical non-redundancy modeling approach is introduced for saliency
detection in images. The statistical non-redundancy of pixels at different wavelet sub-bands …

A novel low-complexity visual saliency detection algorithm for detecting salient regions in
images is proposed. The algorithm derives salient regions based on in-focus regions and …

SuperRare is a new object-oriented attention algorithm based on the notion of rarity: rare
regions are worthy of attention. The main novelty of the model is to use superpixels of …

This paper presents a novel approach to automatically detect the region of interest (ROI) in
food baking images. In addition to common ROI extraction and saliency extraction problems …

In this paper, an efficient saliency analysis method based on entropy theory and wavelet
analysis is proposed, which can be used for car detection in traffic video. In our method, the …

La quantité ainsi que la variété des informations visuelles et le volume des données qui
parviennent à nos yeux à chaque instant sont gigantesques. Pour faire face à cet énorme …

Saliency detection is one of the extraordinary abilities of the human visual system; it also
provides a powerful tool for predicting where people tend to focus in the free-viewing …

Different visual perception characteristic saliencies are the key to constitute the low‐
complexity video coding framework. A hierarchical video coding scheme based on human …