机构:
Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
Lenovo Grp Ltd, Big Data & Machine Learning Lab, Hong Kong, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
Wang, Chuan
[1
,2
]
Zhu, Jie
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机构:
Nanjing Univ, Natl Key Lab Novel Software Technol, Nanjing 210000, Jiangsu, Peoples R ChinaUniv Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
Zhu, Jie
[3
]
Guo, Yanwen
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机构:
Nanjing Univ, Natl Key Lab Novel Software Technol, Nanjing 210000, Jiangsu, Peoples R ChinaUniv Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
Guo, Yanwen
[3
]
Wang, Wenping
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h-index: 0
机构:
Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
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
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.
机构:
George Washington Univ, ECE Dept, Digital Media RF Lab, Washington, DC 20052 USAGeorge Washington Univ, ECE Dept, Digital Media RF Lab, Washington, DC 20052 USA
Szu, H
Hsu, C
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机构:
George Washington Univ, ECE Dept, Digital Media RF Lab, Washington, DC 20052 USAGeorge Washington Univ, ECE Dept, Digital Media RF Lab, Washington, DC 20052 USA