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JBE, vol. 24, no. 7, pp.1199-1208, December, 2019

DOI: https://doi.org/10.5909/JBE.2019.24.7.1199

Effective Video Compression with two Quantization Parameters

Jinwuk Seok, Seunghyun Cho, and Jin Soo Choi

C.A E-mail: jnwseok@etri.re.kr

Abstract:

In this paper, we propose the novel methodology to improve the rate-distortion characteristics by the difference of the quantized DCT coefficients using two different quantized parameters in HEVC. Under the special condition of the quantization property in HEVC, we evaluate the binary difference of the quantized DCT coefficients derived from two different quantized parameters and compressed it with simple CABAC algorithm based on the characteristics of the binary difference. The experimental result shows that the proposed algorithm improves the compression performance of the rate-distortion property in comparison to the conventional HEVC compression method.



Keyword: HEVC, Quantization, Video compression

Reference:
[1] ISO/IEC, High Efficiency Video Coding, document ITU-T Rec. H.265 and ISO/IEC 23008-2 (HEVC), ITU-T and ISO/IEC, Sep. 2019
[2] B. Bross, W.-J. Han, J.R. Ohm, G. J. Sullivan, Y.K. Wang, and T. Wiegand, “High Efficiency Video Coding (HEVC) text specification draft 10 (For FDIS & Final Call)“, JCT-VC, Doc. JCTVC-L1003, Geneva, Switzerland, 2013.
[3] D. Marpe, H. Schwarz, T. Wiegand, ”Context-based Adaptive Binary Arithmetic Coding in the H.264/AVC Video Compression Standard”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 13, No. 7, pp.620–636, 2003.
[4] R. Sjöberg, Y. Chen, A. Fujibayashi, M.M. Hannuksela, J. Samuelsson, T.T. Keng, and Y. Wang, W. Stephan, ”Overview of HEVC High-Level Syntax and Reference Picture Management”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 22, No. 12, pp.1858–1870, 2012.
[5] H. Schwarz, T. Nguyen, D. Marpe, T. Wiegand, Non-CE7: Alternative entropy coding for dependent quantization, JVET-K0072, Proceedings of 11th JVET meeting, Ljubljana, SI, 2018.
[6] R.M. Gray, D.L. Neuhoff, "Quantization", IEEE Transactions on Information Theory archive, Vol. 44, No. 6, pp.2325-2383, 1998
[7] R.G. Gallerger, Information Theory and Reliable communication , NewYork, Wiley, 1968
[8] D. L. Duttweiler and C. Chamzas, "Probability estimation in arithmetic and adaptive-Huffman entropy coders,"IEEE Transactions on Image Processing, Vol. 4, No. 3, pp.237-246, 1995.
[9] D. Taubman, M. Marcellin, ' JPEG2000 Image Compression Fundamentals, Standards and Practice', Springer US, NewYork, 2002
[10] F. Bossen, “Common test conditions and software reference configurations”, The 8th JCT-VC meeting, JCT-VC H1100, San Jose, CA, Jan. 2012.

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