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Power Scalable Video Encoding Strategy Based on Game Theory

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Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

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Abstract

Most mobile video applications are often operated on battery energy supply devices. The higher resolutions and complex functionality of video applications need high resource requirements. Thus, power efficient design plays an important role in computation intensive applications especially for video encoding systems. This paper proposed a power-scalable video encoding scheme (PSVE) for energy limited systems. The PSVE establishes game theoretical analysis and models the power consumption problem as a game problem. PSVE can make video encoder work under variable energy resource constraint while keep better performance. It uses game theory to solve the tradeoff between encoding effect and power consumption. Experimental results demonstrate the efficiency of the proposed approach.

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Author information

Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Wen Ji, Peng Li & Yiqiang Chen

  2. School of Computer Science and Engineering, Seoul National University, Korea

    Min Chen

Authors
  1. Wen Ji
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  2. Peng Li
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  3. Min Chen
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  4. Yiqiang Chen
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Editor information

Editors and Affiliations

  1. Naresuan University, 65000, Phisanulok, Thailand

    Paisarn Muneesawang

  2. Microsoft Research Asia, 100109, Beijing, China

    Feng Wu

  3. Tokyo Institute of Technology, 226-8503, Yokohama, Japan

    Itsuo Kumazawa

  4. Mahanakorn University of Technology, 10530, Bankok, Thailand

    Athikom Roeksabutr

  5. Institute of Information Science, Academia Sinica, Taipei, Taiwan

    Mark Liao

  6. Chinese University of Hong Kong, Shatin, N.T., Hong Kong,  

    Xiaoou Tang

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© 2009 Springer-Verlag Berlin Heidelberg

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Ji, W., Li, P., Chen, M., Chen, Y. (2009). Power Scalable Video Encoding Strategy Based on Game Theory. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_125

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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