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Indexed by:会议论文

Date of Publication:2017-04-16

Included Journals:EI、CPCI-S、SCIE

Page Number:230-237

Key Words:Co-saliency detection; co-salient seeds; partially absorbing random walk

Abstract: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.