Discriminative saliency propagation with sink points

作者：Chen, Shuhan^*; Zheng, Ling; Hu, Xuelong; Zhou, Ping

来源：Pattern Recognition, 2016, 60: 2-12.

DOI：10.1016/j.patcog.2016.05.016

• Saliency Detection
• Saliency Propagation
• Similarity Metric
• Sink Points

Salient object detection is still very challenging especially in images with complex or cluttered background. In this paper, we present an efficient and discriminative framework to address it. In specially, a discriminative similarity metric is first proposed by measuring the chi-square distance in a new constructed feature space. Then, we apply it to calculate a background based coarse saliency map by introducing distribution prior to remove foreground noises in the image boundaries. Based on manifold ranking, a robust saliency propagation mechanism is further developed to highlight salient object and simultaneously suppress background region by setting appropriate sink points. Finally, several simple refinement techniques are utilized to generate pixel-wise and smooth saliency maps. Extensive experimental results show the superior performance of the proposed method in terms of different evaluation metrics. In addition, the proposed framework can be also applied to the existing saliency propagation methods for significant performance boosting. We also believe that it is a good choice for subsequent applications based on the achieved high performance and acceptable computational overhead.

• 出版日期2016-12
• 单位扬州大学