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Saliency Detection via Nonlocal \(L_{0}\) Minimization

  • Yiyang Wang
  • Risheng Liu
  • Xiaoliang Song
  • Zhixun SuEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9004)

Abstract

In this paper, by observing the intrinsic sparsity of saliency map for the image, we propose a novel nonlocal \(L_{0}\) minimization framework to extract the sparse geometric structure of the saliency maps for the natural images. Specifically, we first propose to use the \(k\)-nearest neighbors of superpixels to construct a graph in the feature space. The novel \(L_{0}\)-regularized nonlocal minimization model is then developed on the proposed graph to describe the sparsity of saliency maps. Finally, we develop a first order optimization scheme to solve the proposed non-convex and discrete variational problem. Experimental results on four publicly available data sets validate that the proposed approach yields significant improvement compared with state-of-the-art saliency detection methods.

Keywords

Salient Object Salient Region Saliency Detection Alternate Direction Method Salient Object Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

Risheng Liu is supported by the National Natural Science Foundation of China (No. 61300086), the China Postdoctoral Science Foundation (2013M530917, 2014T70249), the Fundamental Research Funds for the Central Universities (No. DUT12RC(3)67) and the Open Project Program of the State Key Laboratory of CAD&CG, Zhejiang University, Zhejiang, China (No. A1404). Zhixun Su is supported by National Natural Science Foundation of China (Nos. 61173103, 91230103) and National Science and Technology Major Project (No. 2013ZX04005021).

Supplementary material

336656_1_En_35_MOESM1_ESM.pdf (3 mb)
Supplementary material (pdf 3,067 KB)

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Yiyang Wang
    • 1
  • Risheng Liu
    • 2
  • Xiaoliang Song
    • 1
  • Zhixun Su
    • 1
    Email author
  1. 1.School of Mathematical SciencesDalian University of TechnologyDalianChina
  2. 2.School of Software TechnologyDalian University of TechnologyDalianChina

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