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
Marpe, D., Schwarz, H., Wiegand, T.: Context-Based Adaptive Binary Arithmetic Coding in the H.264/AVC Video Compression Standard. IEEE Trans. on Circuits and Systems for Video Technology 13(7), 620–636 (2003)
Willems, F.M.J., Shtarkov, Y.M., Tjalkens, T.J.: The Context-Tree Weighting Method: Basic Properties. IEEE Trans. on Information Theory 41(3), 653–664 (1995)
Willems, F.M.J.: The Context-Tree Weighting Method: Extensions. IEEE Trans. on Information Theory 44(2), 792–797 (1998)
Special issue on H.264/AVC video coding standard. IEEE Trans. on Circuits and Systems for Video Technology, 13 (July 2003)
Tian, X., Le, T.M., Lian, Y.: Entropy Coders of the H.264/AVC Standard. Springer (2011)
McCann, K., Bross, B., Kim, I.K., Sekiguchi, S., Han, W.J.: HM5: High Efficiency Video Coding (HEVC) Test Model 5 Encoder Description. JCTVC- G1102, JCT-VC Meeting, Geneva (November 2011)
Karwowski, D., Domański, M.: Improved Context-Based Adaptive Binary Arithmetic Coding in MPEG-4 AVC/H.264 Video Codec. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010, Part II. LNCS, vol. 6375, pp. 25–32. Springer, Heidelberg (2010)
Karwowski, D., Domański, M.: Improved Context-Adaptive Arithmetic Coding in H.264/AVC. In: European Signal Processing Conference, EUSIPCO 2009, Glasgow, Scotland (August 2009)
ITU-T Q6/16 and ISO/IEC JTC1/SC29/WG11: Joint call for proposals on video compression technology. MPEG Document N11113, Kyoto, Japan (January 2010)
Bjøntegaard, G.: Calculation of Average PSNR Differences between RD curves. ITU-T SG16/Q6. In: 13th VCEG Meeting, Austin, Texas, USA, Doc. VCEG-M33 (April 2001)
Salomon, D., Motta, G.: Handbook of data compression. Springer (2010)
Nguyen, T., Winken, M., Marpe, D., Schwarz, H., Wiegand, T.: Reduced-complexity entropy coding of transform coefficient levels using a combination of VLC and PIPE. JCTVC- D336, JCT-VC Meeting, Daegu (January 2011)
Li, B., Sullivan, G., Xu, J.: Comparison of Compression Performance of HEVC Working Draft 5 with AVC High Profile. JCTVC- H0360, JCT-VC Meeting, San Jose (February 2012)
Bossen, F., Flynn, D., Suhring, K.: AHG Report - Software development and HM software technical evaluation. JCTVC-G003, JCT-VC Meeting, Geneva (November 2011)
Karwowski, D., Domański, M.: Optimized architectures of CABAC codec for IA-32-, DSP- and FPGA-based platforms. Image Processing and Communications (Institute of Telecommunications, Bydgoszcz) 14(2-3), s.5–s.12 (2009)
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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
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