JumpCut: Non-Successive Mask Transfer and Interpolation for Video Cutout
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1. Note

Due to the complexity of our interactive real-time system, the interaction part is not included in our distribution. And the interpolation is also part of our system, it's not within these codes either.

These codes include the main contribution of our algorithm, splitNNF, edge classifier and levelset. We provide a sample code for you to test. You can modify it based on this to fit your need.

Note that the edge map is computed with the codes [1] provides. You need to calculate the edge map with their codes first or you can also merge their MATLAB codes with ours using MATLAB Engine. In OpenCV 3.0.0, Dollar edge map is included, using their implementation is also a good choice.

The source codes of FPMLib.lib are in FPMLib.zip, just in case if you want to run these codes in Linux/64-bit systems.

[1] DOLL´AR, P., AND ZITNICK, C. L. 2013. Structured forests for fast edge detection. In Proc. ICCV, IEEE, 1841–1848.
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2. Dependencies

Our system is running under Cuda 6.5 and OpenCV 2.4.10 in visual studio 2013. If you want to change the configuration of our solution file, you can modify jumpcut.props and reload the solution file in visual studio.
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3. Cite

You can use our codes for research purpose only. And please cite our paper when you use our codes.

@Article{Fan:2015,
Title = {JumpCut: Non-Successive Mask Transfer and Interpolation for Video Cutout},
Author = {Qingnan Fan and Fan Zhong and Dani Lischinski and Daniel Cohen-Or and Baoquan Chen},
Journal = {ACM Transactions on Graphics (Proceedings of SIGGRAPH ASIA 2015)},
Year = {2015},
Volume = {34}
Number = {6},
}
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4. Contact

If you find any bugs or have any ideas of optimizing these codes, please contact me via fqnchina@gmail.com