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Transmission Rate Enhancement for Scalable H.264/AVC Video over MIMO Wireless Systems

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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

In this paper, a channel selection algorithm is proposed to enhance the transmission rate for Scalable Video Coding (SVC). The proposed algorithm allows each scalable video coding layer to choose an appropriate channel in wireless MIMO systems to reduce the video transmission time effectively. We convert the channel selection problem into mathematical minimization problem to verify the proposed algorithm. Finally, Experimental results show that the transmission rate of the proposed method outperforms that of the existing scheme with the similar Bit Error Rate (BER).

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Author information

Authors and Affiliations

  1. Institute of Communication Engineering,  

    Shih-Hung Chen, Chia-Hung Yeh & Wan-Jen Huang

  2. Department of Electrical Engineering, National Sun Yat-Sen University, No. 70, Lienhai Rd., Kaohsiung, 80424, Taiwan, R.O.C.

    Chia-Hung Yeh & Wan-Jen Huang

Authors
  1. Shih-Hung Chen
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  2. Chia-Hung Yeh
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  3. Wan-Jen Huang
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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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Chen, SH., Yeh, CH., Huang, WJ. (2009). Transmission Rate Enhancement for Scalable H.264/AVC Video over MIMO Wireless Systems. 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_4

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_4

  • 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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