From rareness to compactness: Contrast-aware image saliency detection

In this paper, we present a simple but effective method called Contrast-Aware Saliency (CAS) to detect visual saliency by utilizing two general characteristics: rareness and compactness. In our approach, multiple-salient-spots are used to find initial salient clues, which appear to be rare and unique parts in an image. Then, the salient regions are detected by aggregating the surrounding regions of the spots, which fulfil the compactness nature of salient objects. Experimental results show the proposed CAS performs well in the benchmark dataset.