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http://dx.doi.org/10.5909/JBE.2016.21.3.349

Efficient QP-per-frame Assignment Method for Low-delay HEVC Encoder  

Park, Sang-hyo (Digital Media Laboratory, Department of Computer Software, Hanyang University)
Jang, Euee S. (Digital Media Laboratory, Department of Computer Software, Hanyang University)
Publication Information
Journal of Broadcast Engineering / v.21, no.3, 2016 , pp. 349-356 More about this Journal
Abstract
In this paper, we propose an efficient assignment method that assigns quantization parameter (QP) in accordance with group of picture (GOP) structure given in HEVC encoder. Each video frames can have difference QP values based on given GOP configuration for HEVC encoding. Particularly, for important frames we can assign low QP values, and vice versa. However, there has not been thorough investigation on efficient QP assignment method by far. Even in HEVC reference software encoder, only monotonic QP assignment method is employed. Thus, the proposed method assign adaptive QP values to each GOP so that temporal dynamic activity between GOPs can be exploited. Through the experiment, the proposed method showed a 7.3% gain of compression performance in terms of BD-rate compared to HEVC test model (HM) in low-delay configuration, and outperformed the existing QP assignment study on average.
Keywords
HEVC; QP assignment; QP variation; QP fluctuation; Adaptive QP; GOP;
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1 S. Ma, W. Gao, and Y. Lu, “Rate-distortion analysis for H.264/AVC video coding and its application to rate control,” IEEE Trans. Circuits Syst. Video Technol., Vol. 15, No. 12, pp. 1533-1544, December, 2005.   DOI
2 H. Wang and S. Kwong, “Rate-Distortion Optimization of Rate Control for H.264 With Adaptive Initial Quantization Parameter Determination,” IEEE Trans. Circuits Syst. Video Technol., Vol. 18, No. 1, pp. 140-144, January, 2008   DOI
3 H. Sun, S. Gao, and C. Zhang, “Adaptive bit allocation scheme for rate control in high efficiency video coding with initial quantization parameter determination,” Vol. 29, pp. 1029-1045, Signal Process.-Image Commun., September, 2014   DOI
4 B. Li, H. Li, L. Li, and J. Zhang, “λ Domain Rate Control Algorithm for High Efficiency Video Coding,” IEEE Trans. Image Process., Vol. 23, No. 9, pp. 3841-3854, September, 2014   DOI
5 H. Choi, J. Yoo, J. Nam, D. Sim, and I. V. Bajic, “Pixel-Wise Unified Rate-Quantization Model for Multi-Level Rate Control,” IEEE J. Sel. Top. Signal Process., Vol. 7, No. 6, pp. 1112-1123, December, 2013   DOI
6 J. Vanne, M. Viitanen, and T. D. Hamalainen, Efficient Mode Decision Schemes for HEVC Inter Prediction,” IEEE Trans. Circuits Syst. Video Technol., Vol. 24, No. 9, pp. 1579-1593, September, 2014   DOI
7 C. S. Lim, S. M. T. Naing, V. Wahadaniah, and X. Jing, "Reference lists for B pictures under low delay constraints," document JCTVC-D093, ITU-T/ISO/IEC Joint Collaborative Team on Video Coding (JCT-VC), Daegu, Korea, January, 2011.
8 B. Li, J. Xu, D. Zhang, and H. Li, "QP refinement according to lagrange multiplier for high efficiency video coding," Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), Beijing, China, pp. 477-480, May, 2013.
9 H. Schwarz, D. Marpe, and T. Wiegand, “Overview of the scalable video coding extension of the H.264/AVC standard,” IEEE Trans. Circuits Syst. Video Technol., Vol. 17, No. 9, pp. 1103-1120, September, 2007.   DOI
10 D. Hong, M. Horowitz, A. Eleftheriadis, and T. Wiegand, "H.264 hierarchical P coding in the context of ultra-low delay, low complexity applications," in Proc. Picture Coding Symposium (PCS), Nagoya, Japan, pp. 146-149, December, 2010.
11 JCT-VC, "Common test conditions and software reference configurations," document JCTVC-L1100, ITU-T/ISO/IEC Joint Collaborative Team on Video Coding (JCT-VC), Geneva, Switzerland, January, 2013.
12 G. Bjontegaard, "Calculation of average PSNR differences between RD-curves," ITU-T SG16/Q document VCEG-M33, March, 2001.
13 J. -R. Ohm, G. J. Sullivan, H. Schwarz, T. K. Tan, T. Wiegand, “Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC),” IEEE Trans. Circuits Syst. Video Technol., Vol. 22, No. 12, pp. 1669-1684, December, 2012.   DOI
14 J. Vanne, M. Viitanen, T. D. Hamalainen, A. Hallapuro, “Comparative Rate-Distortion-Complexity analysis of HEVC and AVC video codecs” IEEE Trans. Circuits Syst. Video Technol., Vol. 22, No. 12, pp. 1885-1989, December, 2012.   DOI