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Author:

Duan, Lijuan (Duan, Lijuan.) (Scholars:段立娟) | Wu, Chunpeng (Wu, Chunpeng.) | Qiao, Haitao (Qiao, Haitao.) | Gu, Jili (Gu, Jili.) | Miao, Jun (Miao, Jun.) | Qing, Laiyun (Qing, Laiyun.) | Yang, Zhen (Yang, Zhen.) (Scholars:杨震)

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Abstract:

In this paper, we present a saliency guided image retargeting method. Our bio-inspired saliency measure integrates three factors: dissimilarity, spatial distance and central bias, and these three factors are supported by research on human vision system (HVS). To produce perceptual satisfactory retargeting images, we use the saliency map as the importance map in the retargeting method. We suppose that saliency maps can indicate informative regions, and filter out background in images. Experimental results demonstrate that our method outperforms previous retargeting method guided by the gray image on distorting dominant objects less. And further comparison between various saliency detection methods show that retargeting method using our saliency measure maintains more parts of foreground. © 2011 Springer-Verlag.

Keyword:

Visualization Biomimetics Image segmentation

Author Community:

  • [ 1 ] [Duan, Lijuan]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wu, Chunpeng]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Qiao, Haitao]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Gu, Jili]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Miao, Jun]Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
  • [ 6 ] [Qing, Laiyun]School of Information Science and Engineering, Graudate University, Chinese Academy of Sciences, Beijing 100049, China
  • [ 7 ] [Yang, Zhen]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China

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Source :

ISSN: 0302-9743

Year: 2011

Issue: PART 1

Volume: 7062 LNCS

Page: 182-189

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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