Yong-Jin Liu

Yong-Jin Liu

Yong-Jin Liu is a tenured Full Professor with the Computer Science Department at Tsinghua University. He obtained his Ph.D. degree in 2004 from Hong Kong University of Science & Technology. His research interests include computational geometry, computer graphics, computer aided design and pattern analysis.

Optimal-scaling-factor assignment for patch-wise image retargeting

Published in IEEE Computer Graphics and Applications, 2012

Abstract: Image retargeting adjusts images to arbitrary sizes such that they can be viewed on different displays. Content-aware image retargeting has been receiving increased attention. In particular, researchers have improved a patch-wise scaling method for image retargeting at the object level. The scaling partitions the image into rectangular patches of adaptive sizes, which are comparable to the sizes of the salient objects in the image. This partitioning is based on a visual-saliency map; accordingly, the method labels the patches as important or unimportant. Then, the method scales the important patches as uniformly as possible and stretches or squeezes the unimportant patches to fit the target size. A patch-based image-similarity measure finds the optimal set of scaling factors. In experiments, the improved method performed well for three image types: lines and edges, foreground objects, and geometric structures.

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Recommended citation: Yun Liang, Yong-Jin Liu, Xiao-Nan Luo, Lexing Xie, Xiaolan Fu (2013) Optimal-scaling-factor assignment for patch-wise image retargeting. IEEE Computer Graphics and Applications, Vol. 33, No. 5, pp. 68-78, 2013.