Automatic Motion-Guided Video Stylization and Personalization | |
Chen Cao; Shifeng Chen; Wei Zhang; Xiaoou Tang | |
2011 | |
会议名称 | 19th ACM International Conference on Multimedia ACM Multimedia 2011 |
会议地点 | Scottsdale, AZ, United states |
英文摘要 | Video stylization transfers a source video into an artistic version while maintaining temporal coherence between adjacent frames. In this paper, we formulate the unsupervised example-based video stylization with Markov random field model. In our algorithm, we implement an improved optical flow algorithm to maintain temporal coherence while improve the accuracy of estimation along motion boundaries. We also extend our algorithm to the application of videopersonalization, in which human faces keep clear and distinguishable. A series of techniques are fused in video personalization, including face detection and alignment, motion flow, skin detection, and illumination blending. Given a source video and a style template image, our algorithm produces the stylizedand/or personalized video(s) automatically. Experimental results demonstrate that our algorithm performs excellently in both video stylization andpersonalization. |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/3254] |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2011 |
推荐引用方式 GB/T 7714 | Chen Cao,Shifeng Chen,Wei Zhang,et al. Automatic Motion-Guided Video Stylization and Personalization[C]. 见:19th ACM International Conference on Multimedia ACM Multimedia 2011. Scottsdale, AZ, United states. |
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