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Optimization of H.264/AVC Video Coding Based on DSP Platform

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 128))

Abstract

Compared with the previous standards, the coding efficiency and coding performance of H.264/AVC are improved at the cost of higher computational complexity. This additional complexity complicates very much the implementation and optimization tasks of embedded real-time H.264/AVC video encoder. This paper introduces the method to develop and optimize the H.264/AVC encoder on the DSP hardware platform. The emphasis is put on the parallel and pipeline implementation of DCT, IDCT, ZigZag, Quantization, Inverse Quantization and context adaptive variable length coding (CAVLC) modules of H.264/AVC. Compared with previous work, it is characterized that the degree of code parallelism is improved through the reasonable arrange of data stream and module division without any loss in coding performance. The simulated results indicate that this efficient implementation can improve the speed of encoder by 30%.

This work was supported by the National Science Foundation of china (No. 61001123) and 863 project (No. 2009AA011902).

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References

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Authors and Affiliations

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

    Yanfei Shen, JinTao Li & Zhenming Zhu

  2. Graduate University of Chinese Academy of Sciences, Beijing, China

    Yanfei Shen

Authors
  1. Yanfei Shen
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  2. JinTao Li
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  3. Zhenming Zhu
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Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Shen, Y., Li, J., Zhu, Z. (2012). Optimization of H.264/AVC Video Coding Based on DSP Platform. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_13

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  • DOI: https://doi.org/10.1007/978-3-642-25792-6_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25791-9

  • Online ISBN: 978-3-642-25792-6

  • eBook Packages: EngineeringEngineering (R0)

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