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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)

Indexed by:

CPCI-S

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 Oil 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.

Keyword:

image retargeting central bias dissimilarity spatial distance visual saliency

Author Community:

  • [ 1 ] [Duan, Lijuan]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Wu, Chunpeng]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Qiao, Haitao]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Gu, Jili]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Yang, Zhen]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Miao, Jun]Chinese Acad Sci, Comp Technol Inst, Key Lab Intelligent Info Proc, Beijing 100124,, Peoples R China
  • [ 7 ] [Qing, Laiyun]Grad Univ Chinese Acad Sci, Sch Information Sci & Engn, Beijing 100190, Peoples R China

Reprint Author's Address:

  • 段立娟

    [Duan, Lijuan]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing 100124, Peoples R China

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Source :

NEURAL INFORMATION PROCESSING, PT I

ISSN: 0302-9743

Year: 2011

Volume: 7062

Page: 182-,

Language: English

Cited Count:

WoS CC Cited Count: 0

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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