Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic image retargeting with fisheye-view warping
Proceedings of the 18th annual ACM symposium on User interface software and technology
MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
Region-based visual attention analysis with its application in image browsing on small displays
Proceedings of the 15th international conference on Multimedia
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
Optimized scale-and-stretch for image resizing
ACM SIGGRAPH Asia 2008 papers
Image retargeting based on global energy optimization
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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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.