This paper proposes a novel computational framework for saliency detection, which integrates the saliency map computation and proto-objects detection. The proto-objects are detected based on the saliency map using latent topic model. The detected proto-objects are then utilized to improve the saliency map computation. Extensive experiments are performed on two publicly available datasets. The experimental results show that the proposed framework outperforms the state-of-art methods.
['Zhidong Li', 'Jie Xu', 'Yang Wang', 'Glenn Geers', 'Jun Yang']
Saliency detection based on proto-objects and topic model