Video Vectorization via Tetrahedral Remeshing

被引:16
|
作者
Wang, Chuan [1 ,2 ]
Zhu, Jie [3 ]
Guo, Yanwen [3 ]
Wang, Wenping [1 ]
机构
[1] Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
[2] Lenovo Grp Ltd, Big Data & Machine Learning Lab, Hong Kong, Hong Kong, Peoples R China
[3] Nanjing Univ, Natl Key Lab Novel Software Technol, Nanjing 210000, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Video; vectorization; representation;
D O I
10.1109/TIP.2017.2666742
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a video vectorization method that generates a video in vector representation from an input video in raster representation. A vector-based video representation offers the benefits of vector graphics, such as compactness and scalability. The vector video we generate is represented by a simplified tetrahedral control mesh over the spatial-temporal video volume, with color attributes defined at the mesh vertices. We present novel techniques for simplification and subdivision of a tetrahedral mesh to achieve high simplification ratio while preserving features and ensuring color fidelity. From an input raster video, our method is capable of generating a compact video in vector representation that allows a faithful reconstruction with low reconstruction errors.
引用
收藏
页码:1833 / 1844
页数:12
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