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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40559

Title: Patch-based Image Warping for Content-aware Retargeting
Authors: Shih-Syun Lin;I-Cheng Yeh;Chao-Hung Lin;Tong-Yee Lee
Contributors: 國立臺灣海洋大學:資訊工程學系
Date: 2013
Issue Date: 2017-01-20T01:50:02Z
Publisher: IEEE Transactions on Multimedia
Abstract: Abstract: Image retargeting is the process of adapting images to fit displays with various aspect ratios and sizes. Most studies on image retargeting focus on shape preservation, but they do not fully consider the preservation of structure lines, which are sensitive to human visual system. In this paper, a patch-based retargeting scheme with an extended significance measurement is introduced to preserve shapes of both visually salient objects and structure lines while minimizing visual distortions. In the proposed scheme, a similarity transformation constraint is used to force visually salient content to undergo as-rigid-as-possible deformation, while an optimization process is performed to smoothly propagate distortions. These processes enable our approach to yield pleasing content-aware warping and retargeting. Experimental results and a user study show that our results are better than those generated by state-of-the-art approaches.
Relation: 15(2)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40559
Appears in Collections:[資訊工程學系] 期刊論文

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