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Online distribution and interaction of video data in social multimedia network

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Abstract

As the emerging multimedia on the latest social multimedia network, high dimensional video (HDV) data distribution is one of the most challenging problems in social multimedia applications. In the paper, we provide a state-of-the-art analysis on the streaming and interactive technologies for the two most popular representations of HDV, video plus depth map and multi-view video since both of them can enable the view-point interaction and behavior analysis in social media applications. Additionally, view-point switching techniques in HDV streaming with emphasis on interactive functionality are discussed, including SP-frame, Wyner-ziv frame and view switchable stream generation. Moreover, the overall performance of key tools focusing on HDV streaming is evaluated and potential improvements are discussed.

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Acknowledgements

The project was supported by the National Science Foundation for Distinguished Young Scholars of China (Grant No. 61325003).

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Authors and Affiliations

  1. Tsinghua University, Room 711A, Main building, Haidian District, 100084, Beijing, China

    Xiangyang Ji

  2. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA

    Qifei Wang

  3. Princeton University, Princeton, NJ, USA

    Bo-Wei Chen

  4. Sungkyul University, Anyang, South Korea

    Seungmin Rho

  5. University of Southern California, Los Angeles, CA, USA

    C. C. Jay Kuo

  6. Department of Automation, Tsinghua University, Room 410, Central main building, Beijing, China

    Qionghai Dai

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  1. Xiangyang Ji
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  4. Seungmin Rho
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Correspondence to Xiangyang Ji.

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Ji, X., Wang, Q., Chen, BW. et al. Online distribution and interaction of video data in social multimedia network. Multimed Tools Appl 75, 12941–12954 (2016). https://doi.org/10.1007/s11042-014-2335-1

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  • DOI: https://doi.org/10.1007/s11042-014-2335-1

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