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论文类型：会议论文

发表时间：2017-04-16

收录刊物：EI、CPCI-S、SCIE

页面范围：230-237

关键字：Co-saliency detection; co-salient seeds; partially absorbing random walk

摘要：Co-saliency detection aims at finding the common salient objects in multiple images. In this paper, we introduce a new co-saliency detection model, which includes two main parts: co-salient seed selection using the inter-object recurrence cues from multiple images and saliency label propagation using partially absorbing random walk. With the guidance of cosalient seeds, salient objects are individually detected from each image through a semi-supervised label propagation process. Experimental results on two benchmark databases demonstrate that the proposed method achieves good performance.