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Issue No. 05 - September/October (2007 vol. 27)
ISSN: 0272-1716
pp: 80-88
Vidya Setlur , Nokia Research Center, Palo Alto
Tom Lechner , Northwestern University
Marc Nienhaus , University of Potsdam
Bruce Gooch , University of Victoria
A nonphotorealistic algorithm for retargeting images adapts large images so that important objects in the image are still recognizable when displayed at a lower target resolution. Unlike existing image manipulation techniques such as cropping and scaling, the retargeting algorithm can handle multiple important objects in an image. The authors' approach constructs a topologically constrained epitome of an image based on a visual attention model that is both comprehensible and size varying, making the method suitable for display-critical applications. They extend this algorithm to other types of imagery such as medical data.
small displays, image and video adaptation, saliency, visual perception, non-photorealistic rendering, functional realism

M. Nienhaus, T. Lechner, B. Gooch and V. Setlur, "Retargeting Images and Video for Preserving Information Saliency," in IEEE Computer Graphics and Applications, vol. 27, no. , pp. 80-88, 2007.
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