中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic Motion-Guided Video Stylization and Personalization

文献类型:会议论文

作者Chen Cao; Shifeng Chen; Wei Zhang; Xiaoou Tang
出版日期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
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.

入库方式: OAI收割

来源:深圳先进技术研究院

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