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Co-saliency detecti...
Co-saliency detection via similarity-based saliency propagation
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- Ge, Chenjie, 1991 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Fu, Keren, 1988 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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Li, Yijun (författare)
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visa fler...
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Yang, Jie (författare)
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Shi, Pengfei (författare)
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Bai, Li (författare)
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visa färre...
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(creator_code:org_t)
- 2015
- 2015
- Engelska.
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Ingår i: 2015 IEEE International Conference on Image Processing (ICIP). ; , s. 1845 - 1849
- Relaterad länk:
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https://research.cha...
Abstract
Ämnesord
Stäng
- In this paper, we present a method for discovering the common salient objects from a set of images. We treat co-saliency detection as a pairwise saliency propagation problem, which utilizes the similarity between each pair of images to measure the common property with the guidance of a single saliency map image. Given the pairwise co-salient foreground maps, pairwise saliency is optimized by combining the initial background cues. Pairwise co-salient maps are then fused according to a novel fusion strategy based on the focus of human attention. Finally we adopt an integrated multi-scale scheme to obtain the pixel-level saliency map. Our proposed model makes the existing single saliency model perform well in co-saliency detection and is not overly sensitive to the initial saliency model selected. Extensive experiments on two benchmark databases show the superiority of our co-saliency model against the state-of-the-art methods both subjectively and objectively.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- pairwise saliency propagation
- optimization
- Co-saliency detection
- attention based fusion
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)