Salient object detection via background contrast

This paper addresses the problem of salient object detection. We introduce a novel framework which aims to automatically identify salient regions in natural images based on two key ideas. The first one is to consider the statistical spatial distribution of saliency and non-saliency regions as two complementary processes. The second one is based on the assumption that contrast saliency with respect to background regions outperforms those with respect to entire image. Experimental results demonstrate the effectiveness of our approach over 12 state-of-the-art models.