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International Conference on Computer Vision and Graphics

ICCVG 2012: Computer Vision and Graphics pp 121–128Cite as

Improved Adaptive Arithmetic Coding for HEVC Video Compression Technology

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7594))

Abstract

The paper presents Improved Adaptive Arithmetic Coding algorithm for application in forthcoming HEVC video compression technology. The proposed solution is based on standard CABAC algorithm and uses author’s new mechanism of data statistics modeling that is based on CTW technique. The improved CABAC algorithm is characterized with better compression performance relative to standard CABAC. In the framework of HEVC encoder 1.6% - 4.5% bitrate reduction was obtained when using improved CABAC instead of the original algorithm.

The work was supported by a public funds as a research project in years 2010-2012

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References

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Author information

Authors and Affiliations

  1. Chair of Multimedia Telecommunications and Microelectronics, Poznań University of Technology, Polanka 3, 60-965, Poznań, Poland

    Damian Karwowski

Authors
  1. Damian Karwowski
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa, 02-008, Warsaw, Poland

    Leonard Bolc

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warszawa, Poland

    Konrad Wojciechowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Karwowski, D. (2012). Improved Adaptive Arithmetic Coding for HEVC Video Compression Technology. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_15

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  • DOI: https://doi.org/10.1007/978-3-642-33564-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33563-1

  • Online ISBN: 978-3-642-33564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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