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Automatic image retargeting with fisheye-view warping
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 18th annual ACM symposium on User interface software and technology table of contents
Seattle, WA, USA
SESSION: Customization 1 table of contents
Pages: 153 - 162  
Year of Publication: 2005
ISBN:1-59593-271-2
Authors
Feng Liu  University of Wisconsin-Madison, Madison, WI
Michael Gleicher  University of Wisconsin-Madison, Madison, WI
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 22,   Downloads (12 Months): 149,   Citation Count: 7
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ABSTRACT

Image retargeting is the problem of adapting images for display on devices different than originally intended. This paper presents a method for adapting large images, such as those taken with a digital camera, for a small display, such as a cellular telephone. The method uses a non-linear fisheye-view warp that emphasizes parts of an image while shrinking others. Like previous methods, fisheye-view warping uses image information, such as low-level salience and high-level object recognition to find important regions of the source image. However, unlike prior approaches, a non-linear image warping function emphasizes the important aspects of the image while retaining the surrounding context. The method has advantages in preserving information content, alerting the viewer to missing information and providing robustness.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  8

Collaborative Colleagues:
Feng Liu: colleagues
Michael Gleicher: colleagues