Rate Distortion Model Analysis for H.264/AVC Video Coding

Ling Tian; Yi Min Zhou; Yu Sun; Shi Xin Sun

doi:10.4028/www.scientific.net/AMR.108-111.172

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 108-111Rate Distortion Model Analysis for H.264/AVC Video...

Rate Distortion Model Analysis for H.264/AVC Video Coding

Abstract:

The Rate-Distortion model, which denotes relations among distortion, bit rate and quantization parameter for a video sequence, is a crucial issue in rate control. The quadratic R-D model has been widely used in H.264/AVC rate control because of its high performance. Since the adoption of Rate Distortion Optimization in H.264/AVC, the rate control algorithm is more complex than that of previous standards. In this paper, we firstly analyze the model error of the quadratic model, and then calculate the prediction error of MAD in H.264/AVC based on theoretical derivation and extensive experiments, finally propose a linear MAD model to predict the current MAD. Experimental results demonstrate that the proposed linear model gains higher prediction accuracy than the quadratic model.

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Periodical:

Advanced Materials Research (Volumes 108-111)

Pages:

172-177

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.108-111.172

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Online since:

May 2010

Authors:

Ling Tian, Yi Min Zhou, Yu Sun, Shi Xin Sun

Keywords:

Linear MAD Model, MAD Prediction Error, Model Error, R-D Model

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References

[1] T Berger. Rate Distortion Theory. Englewood Cliffs, NJ: Prentice Hall, (1971).

Google Scholar

[2] A Ortega, K Ramchandran. Rate-Distortion Methods for Image and Video Compression. IEEE Signal Processing Magazine, 1998, pp.23-50.

DOI: 10.1109/79.733495

Google Scholar

[3] H M Hang, J J Chen. Source Model for Transform Video Coder and Its Application - Part I: Fundamental Theory. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 7(1997), pp.287-298.

DOI: 10.1109/76.564108

Google Scholar

[4] Z Chen, K N Ngan. Recent advances in rate control for video coding. Signal Process: Image Communication, Vol. 22 (2007), pp.19-38.

DOI: 10.1016/j.image.2006.11.002

Google Scholar

[5] Z Chen. A rate and distortion analysis for H. 264/AVC video coding. IEEE International Symposium on Circuits and Systems, ISCAS 2008, May 2008, pp.1612-1615.

DOI: 10.1109/iscas.2008.4541742

Google Scholar

[6] W Ding, B Liu. Rate control of MPEG video coding and recording by rate-quantization modeling. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 6 (1996) pp.12-20.

DOI: 10.1109/76.486416

Google Scholar

[7] Z He, Y K Kim, S K Mitra. Low-delay rate control for DCT video coding via p-domain source modeling. IEEE Trans. Circuits System and Video Technology, Vol. 11(2001), pp.928-940.

DOI: 10.1109/76.937431

Google Scholar

[8] T Chiang, Y Q Zhang. A new rate control scheme using quadratic rate-distortion modeling. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 7(1997), pp.246-250.

DOI: 10.1109/76.554439

Google Scholar

[9] Z G LI, F Pan, K P Lim, G N Feng. Adaptive Basic Unit Layer Rate Control for JVT. Joint Video Team of ISO/IEC MPEG and ITU-T VCEG, JVT-G012, Pattaya, Thailand, Mar. 2003, pp.7-14.

Google Scholar

[10] Y Zhou, Y Sun, et al. New rate-distortion modeling and efficient rate control for H. 264/AVC video coding. Signal Process: Image Communication, Vol. 24 (2009), pp.345-356.

DOI: 10.1016/j.image.2009.02.014

Google Scholar

[11] Joint Video Team. Reference Software JM13. 2. http: /iphome. hhi. de/suehring/tml.

Google Scholar