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User-Driven Sports Video Customization System for Mobile Devices

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Advances in Multimedia Information Processing -- PCM 2015 (PCM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9315))

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Abstract

In this paper, we have implemented a user-driven sports video customization system, aiming to provide interesting video clips for mobile users according to their personalized preferences. In this system, we use the web-casting text to detect events from sports video and generate rich content description. In particular, the video clock time on the scoreboard is recognized for the purpose of aligning these events from web-casting text to sports video clips. The proposed extended-hidden Markov model (extended-HMM) is proved to be able to recognize the clock time precisely. To save mobile web traffic, an optional function based on the proposed event based video encoding approach is embedded in the system. Compared with traditional encoding approach, this approach provides bitrate saving of about 34 % while the quality of frames which users are interested in keeps the same. Both quantitative and qualitative experiments have been conducted to prove the proposed approaches’ effectiveness.

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Notes

  1. 1.

    http://www.bbc.com/sport/0/football/25285050.

  2. 2.

    http://www.videolan.org/developers/x264.html.

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Acknowledgement

The research was supported by the National Nature Science Foundation of China (61231015, 61172173, 61303114, 61170023), the Technology Research Program of Ministry of Public Security (2014JSYJA016), the National High Technology Research and Development Program of China (863 Program, 2015AA016306), the EU FP7 QUICK project under Grant Agreement (PIRSES-GA-2013-612652), the Major Science and Technology Innovation Plan of Hubei Province (2013AAA020), the Internet of Things Development Funding Project of Ministry of industry in 2013 (No. 25), the China Postdoctoral Science Foundation funded project (2014M562058), the Specialized Research Fund for the Doctoral Program of Higher Education (20130141120024), the Nature Science Foundation of Hubei Province (2014CFB712), the Fundamental Research Funds for the Central Universities (2042014kf0025, 2042014kf0250, 2014211020203), the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry ([2014]1685).

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Authors and Affiliations

  1. National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, 430072, China

    Jian Qin, Jun Chen, Zheng Wang, Jiyang Zhang, Xinyuan Yu & Qi Zheng

  2. Collaborative Innovation Center of Geospatial Technology, Wuhan, 430079, China

    Jun Chen

  3. School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China

    Chunjie Zhang

Authors
  1. Jian Qin
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  2. Jun Chen
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  3. Zheng Wang
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  4. Jiyang Zhang
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  5. Xinyuan Yu
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  6. Chunjie Zhang
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  7. Qi Zheng
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Corresponding author

Correspondence to Jun Chen .

Editor information

Editors and Affiliations

  1. Gwangju Institute of Science and Technology, Gwangju, Korea (Republic of)

    Yo-Sung Ho

  2. Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Jitao Sang

  3. KAIST, Daejeon, Korea (Republic of)

    Yong Man Ro

  4. KAIST, Daejeon, Korea (Republic of)

    Junmo Kim

  5. College of Computer Science, Zhejiang University, Hangzhou, China

    Fei Wu

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Qin, J. et al. (2015). User-Driven Sports Video Customization System for Mobile Devices. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_53

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  • DOI: https://doi.org/10.1007/978-3-319-24078-7_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24077-0

  • Online ISBN: 978-3-319-24078-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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