Journal
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Volume 52, Issue -, Pages 131-142Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jvcir.2018.01.004
Keywords
Saliency detection; Coarse-to-fine; Local structure propagation; Color distribution map; Global and local information; Multi-prior
Funding
- National Natural Science Foundation of China [61672150]
- Fund of Jilin Provincial Science and Technology Department [20160204047GX]
- Fund of Research Contract, Jilin Provincial Education Department [571[2015]]
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Saliency detection is a popular topic in computer vision, especially propagation-based method. This paper proposes a novel and effective coarse-to-fine saliency detection framework. In the coarse map stage, color spatial distribution map based on hue cue and central compactness rule is proposed, and integrated with texture boundary contrast information and background information to construct multi-prior coarse saliency map. In the refining stage, saliency values are updated under the comprehensive guidance of local structure propagation which is a novel algorithm to preserve local structural integrity during saliency propagation. With the global and local information, the detection procedure enhances the correctness of salient object gradually. Demonstrated in the extensive experiments on the public benchmark datasets, the performance of the proposed framework is superior to the state-of-the-art methods.
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