1. 毕业设计（论文）的内容和要求

视频是记录和表现现代人生活的重要形式，新一代获取工具?#25163;机的流行，使得很多人积累了大量的生活视频，修改、编辑视频制作新视频是很多人的愿望，而premiere、after effects的专业性太强，非专业操作者较难上手，因此，开发新的视频编辑工具有着很大的显示需求和意义。

本毕设是开发从视频方便快捷地提取前景物体。

毕设利用单帧的前景、背景交互指定，利用视频前景、背景不同的运动特点设计各自的近邻场。

2. 参考文献

1.AGARWALA, A., HERTZMANN, A., SALESIN, D. H., AND SEITZ, S. M. 2004. Keyframe-based tracking for rotoscoping and animation. ACM Trans. Graph. 23, 3 (Aug.), 584?91. 2. BAI, X., WANG, J., SIMONS, D., AND SAPIRO, G. 2009. Video SnapCut: Robust video object cutout using localized classifiers. ACM Trans. Graph. 28, 3 (July), 70:1?1. 3. BAI, X., WANG, J., AND SAPIRO, G. 2010. Dynamic color flow:A motion-adaptive color model for object segmentation in video. In Proc. ECCV, Springer-Verlag, vol. V, 617?30. 4. BAO, L., YANG, Q., AND JIN, H. 2014. Fast edge-preserving patchmatch for large displacement optical flow. IEEE Trans. Image Processing 23, 12 (Dec.), 4996?006. 5. BARNES, C., SHECHTMAN, E., FINKELSTEIN, A., AND GOLDMAN, D. 2009. PatchMatch: A randomized correspondence algorithm for structural image editing. ACM Trans. Graph 28, 3, 24. 6. BAY, H., ESS, A., TUYTELAARS, T., AND VAN GOOL, L. 2008. Speeded-up robust features (SURF). Computer Vision and Image Understanding 110, 3, 346?59. 7. BROX, T., BRUHN, A., PAPENBERG, N., AND WEICKERT, J. 2004. High accuracy optical flow estimation based on a theory for warping. In Proc. ECCV?4. Springer, 25?6. 8. CASELLES, V., KIMMEL, R., AND SAPIRO, G. 1997. Geodesic active contours. Intl. J. Comp. Vision 22, 1, 61?9. 9. CHEN, Z., JIN, H., LIN, Z., COHEN, S., AND WU, Y. 2013. Large displacement optical flow from nearest neighbor fields. In Proc. CVPR?3, 2443?450. 10. CHUANG, Y.-Y., CURLESS, B., SALESIN, D. H., AND SZELISKI, R. 2001. A bayesian approach to digital matting. In Proc. CVPR 2001, IEEE Computer Society, vol. 2, 264?71. 11. CHUANG, Y.-Y., AGARWALA, A., CURLESS, B., SALESIN, D. H., AND SZELISKI, R. 2002. Video matting of complex scenes. ACM Trans. Graph. 21, 3 (July), 243?48. 12. CREMERS, D., ROUSSON, M., AND DERICHE, R. 2007. A review of statistical approaches to level set segmentation: Integrating color, texture, motion and shape. Intl. J. Comp. Vision 72, 2, 195?15. 13. DOLL碅R, P., AND ZITNICK, C. L. 2013. Structured forests forfast edge detection. In Proc. ICCV, IEEE, 1841?848. 14. FAKTOR, A., AND IRANI, M. 2014. Video segmentation by nonlocal consensus voting. In Proc. BMVC 2014. 15. LI, Y., SUN, J., AND SHUM, H.-Y. 2005. Video object cut and paste. ACM Trans. Graph. 24, 3 (July), 595?00. 16. LING, H., AND JACOBS, D. W. 2007. Shape classification using the inner-distance. IEEE Trans. PAMI 29, 2, 286?99. 17. LIU, Y., AND YU, Y. 2012. Interactive image segmentation based on level sets of probabilities. IEEE Trans. Vis. Comp. Graphics 18, 2 (Feb), 202?13.

3. 毕业设计（论文）进程安排

起讫日期 设计（论文）各阶段工作内容 2015.11.15～2015.12.31 查阅参考资料，分析题目要求，完成开题报告； 2016.1.1～2016.3.20 完成需求分析及外文翻译； 2016.3.21～2016.4.2 确定视频分割算法 ； 2016.4.3～2016.5.12 软件编程、调试 ；2016.5.13～2016.6.2 撰写、修改论文； 2016.6.3～2016.6.15 准备答辩 ；