Multimedia Systems

, Volume 9, Issue 4, pp 353–364 | Cite as

A visual attention model for adapting images on small displays

  • Li-Qun Chen
  • Xing Xie
  • Xin Fan
  • Wei-Ying Ma
  • Hong-Jiang Zhang
  • He-Qin Zhou
OriginalPaper

Abstract.

Image adaptation, one of the essential problems in adaptive content delivery for universal access, has been actively explored for some time. Most existing approaches have focused on generic adaptation with a view to saving file size under constraints in client environment and have hardly paid attention to user perceptions of the adapted result. Meanwhile, the major limitation on the user’s delivery context is moving away from data volume (or time-to-wait) to screen size because of the galloping development of hardware technologies. In this paper, we propose a novel method for adapting images based on user attention. A generic and extensible image attention model is introduced based on three attributes (region of interest, attention value, and minimal perceptible size) associated with each attention object. A set of automatic modeling methods are presented to support this approach. A branch-and-bound algorithm is also developed to find the optimal adaptation efficiently. Experimental results demonstrate the usefulness of the proposed scheme and its potential application in the future.

Keywords:

Image adaptation Attention model Region-of-interest Attention value Minimal perceptible size Information fidelity 

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Copyright information

© Springer-Verlag Berlin/Heidelberg 2003

Authors and Affiliations

  • Li-Qun Chen
    • 1
  • Xing Xie
    • 2
  • Xin Fan
    • 1
  • Wei-Ying Ma
    • 2
  • Hong-Jiang Zhang
    • 2
  • He-Qin Zhou
    • 1
  1. 1.Dept. of AutomationUniversity of Science and Technology of ChinaHefeiP.R. China
  2. 2.5/F Sigma CenterMicrosoft Research AsiaBeijingP.R. China

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