A comprehensive approach to automatic image browsing for small display devices

Muhammad Abul Hasan, Min Xu, Xiangjian He

Research output: Chapter in Book/Conference proceedingBook Chapterpeer-review


Recently, small displays are widely used to browse digital images. While using a small display device, the content of the image appears very small. Users have to use manual zooming and panning in order to see the detail of the image on a small display. Hence, an automatic image browsing solution is desired for user convenience. In this chapter, a novel comprehensive and efficient system is proposed to browse high resolution images using small display devices by automatically panning and zooming on Region-of-Interests (ROIs). The challenge is to provide a better user experience on heterogeneous small display sizes. First of all, an input image is classified into one of the three different classes: close-up, landscape and other. Then the ROIs of image are extracted. Finally, ROIs are browsed based on different intuitive and study based strategies. Our proposed system is evaluated by subjective test. Experimental results indicate that the proposed system is an effective large image displaying technique on small display devices.

Original languageEnglish
Title of host publicationThe Era of Interactive Media
PublisherSpringer New York
Number of pages10
ISBN (Electronic)9781461435013
ISBN (Print)1461435005, 9781461435006
Publication statusPublished - 1 Oct 2013
Externally publishedYes


  • Image adaptation
  • Image browsing
  • Small display
  • Visual attention

ASJC Scopus subject areas

  • General Computer Science


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