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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
ABSTRACT
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.
INDEX TERMS
small displays, image and video adaptation, saliency, visual perception, non-photorealistic rendering, functional realism
CITATION

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.
doi:10.1109/MCG.2007.133
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