| Image retargeting using multi-map constrained region warping |
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International Multimedia Conference
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Proceedings of the seventeen ACM international conference on Multimedia
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Beijing, China
SESSION: Short papers session 3: applications and systems
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Pages: 853-856
Year of Publication: 2009
ISBN:978-1-60558-608-3
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Authors
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Tongwei Ren
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State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China
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Yan Liu
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Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China
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Gangshan Wu
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State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China
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Downloads (6 Weeks): 64, Downloads (12 Months): 142, Citation Count: 0
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ABSTRACT
Image retargeting aims to adapt images to various screens with small sizes and arbitrary aspect ratios. In this paper, we propose a novel image retargeting approach based on region warping, which emphasizes the image parts with important content while reducing the visual distortion over the whole image. First, the original image is decomposed into homogeneous regions and further represented by curve-edge trapezoid meshes. Then, two kinds of energy maps, importance map and sensitivity map, are calculated by visual attention model and weighted gradient map respectively. With mesh representation and energy map constraints, image retargeting is formulated to a constrained optimization problem of mesh vertexes relocation. Finally, the target image is generated by separately warping the regions based on the deduced optimal solution. The experiments on different images demonstrate the effective and efficiency of our algorithm.
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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