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Journal of Zhejiang University SCIENCE C 2013 Vol.14 No.7 P.475-476

http://doi.org/10.1631/jzus.CIDE1300


Data-driven digital entertainment: a computational perspective


Author(s):  Yue-ting Zhuang

Affiliation(s):  Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   yzhuang@cs.zju.edu.cn

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Yue-ting Zhuang. Data-driven digital entertainment: a computational perspective[J]. Journal of Zhejiang University Science C, 2013, 14(7): 475-476.

@article{title="Data-driven digital entertainment: a computational perspective",
author="Yue-ting Zhuang",
journal="Journal of Zhejiang University Science C",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.CIDE1300"
}

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A1 - Yue-ting Zhuang
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.CIDE1300


Abstract: 
Today massive collections of data can be obtained across different sources (or domains), e.g., the depth data from Kinect, the geometrical data from scanning devices, the imagery/video data from cameras, and the motion data from mocap devices. Since heterogeneous data may have different discriminative powers and are intrinsically complementary for certain tasks, it is desirable to leverage all the information available in digital entertainment. For example, the acquired 3D geometry and texture are jointly exploited to construct the colored 3D environment models; high-resolution geometry and motion-captured data are obtained to synthesize and re-target facial animations; both visual and acoustical features are contextually applied to classification. Therefore, it poses a significant challenge for the appropriate utilization of the different varieties of heterogeneous data in digital entertainment.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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