A method for detecting salient regions using integrated features
Zhendong Mao, Yongdong Zhang, Ke Gao, Dongming Zhang · 2012
We develop a novel algorithm for detecting salient regions. By analyzing the advantages and disadvantages of the existing methods, five principles for designing salient region detection algorithms are summarized. Based on these principles, we propose a novel method that generates saliency map with highlighted salient regions by utilizing two different features, namely visual saliency value and spatial weight. The visual saliency value is determined based on local contrast differences and low-level feature frequencies. The spatial weight is computed by analyzing the size and location of salient regions. Experimental results show that the proposed algorithm outperforms 7 state-of-the-art methods on the public image set.