A VARIANCE DISTORTION RATE CONTROL SCHEME FOR COMBINED SPATIALTEMPORAL SCALABLE VIDEO CODING

Authors

  • L. BALAJI Velammal Institute of Technology, Anna University, Chennai, India
  • A. DHANALAKSHMI Panimalar Engineering College, Anna University, Chennai, India
  • C. CHELLASWAMY Rajalakshmi Institute of Technology, Anna University, Chennai, India

Keywords:

H.264 SVC, Rate control, Bit Rate, PSNR, Buffer, PID controller

Abstract

Rate Control plays an important role in video compression for transportation over heterogeneous network bandwidth varying conditions. A combined spatial-temporal rate control scheme is proposed for scalable video coding. Introductory quantization parameter estimation is determined based on complete variance distortion method for I frame of first GOP and estimates buffer occupancy level. With the estimated buffer level, target bits are determined considering the coding complexity is proposed in the rate control scheme. In addition, a proportional integral and derivative (PID) controller that calculates the error and minimize fluctuation between the actual buffer fullness and target buffer fullness for competent buffer utilization. As a result, the proposed scheme exploits entire buffer exclusive of crossing overflow and underflow level. The investigational results are compared with other two benchmark schemes and the proposed scheme can able to achieve better target bit adjustment with condensed fluctuations and competent buffer utilization.

 

Downloads

Download data is not yet available.

References

Chiang, T. and Zhang, Y. Q. A new rate control scheme using quadratic rate distortion model. IEEE

Transactions on Circuits and Systems for Video Technology, 7(1), 246–250. Feb 1997.

Cho, Y. Liu, J. Kwon, D. K. and Kuo, C. C. J. H.264/SVC temporal bit allocation with dependent

distortion model. Proceedings of IEEE International Conference on ICASSP, 641–644. Apr 2009.

Coding of Moving Pictures and Associated Audio MPEG 97/M1631. ISO/IEC JTC1/SC29/WG11,

Feb 1997.

Corbera, J. R. and Lei, S. Rate control in DCT video coding for low-delay communications.

Transactions on Circuits and Systems for Video Technology, 9(1).172–185, Feb 1999.

D’ Souza, A. F. Design of Control System. Englewood Cliffs. NJ. Prentice-Hall, 1988.

Dong, J. and Ling, N. A context-adaptive prediction scheme for parameter estimation in

H.264/AVC macroblock layer rate control. IEEE Transactions on Circuits and Systems for Video

Technology, 19(8).1108–1117, Aug 2009.

Gardos, T. Video Codec Test Model, Near-Term, Version 8 (TMN8). ITU-T VCEG, 1st VCEG

Meeting, Doc Q15-A-59, Jun 1997.

He, Z. and Mitra, S. Optimum bit allocation and accurate rate control for video coding via ρ-domain

source modeling. IEEE Transactions on Circuits and Systems for Video Technology, 12(10).840–

, Oct 2002.

Hu, S. Wang, H. Kwong, S. and Kuo, C.C. J. Novel Rate-Quantization Model Based Rate Control

with Adaptive Initialization for spatial scalable video coding. IEEE Transactions on Industrial

Electronics, 59(3).1673–1684, Mar 2012.

Huang, H. Peng, W. Chiang, T. and Hang, H. Advances in the scalable amendment of H.264/AVC.

IEEE Communication Magazine, 45(1).68–76, Jan 2007.

Kamaci, N. Altinbasak, Y. and Mersereau, R. M. Frame bit allocation for the H.264/AVC video

coder via cauchy density-based rate and distortion models. IEEE Transactions on Circuits and

Systems for Video Technology, 15(8), 994–1006. Aug 2005.

Kelly, F. Maulloo, A. and Tan, D. Rate control for communication networks: shadow prices,

proportional fairness and stability. Journal of Operational Research and Society, 49(3).237–252,

Mar 1998.

Kwon, D. Shen, M. and Kuo, C. C. J. Rate control for H.264 video with enhanced rate and

distortion model. IEEE Transactions on Circuits and Systems for Video Technology, 17(5). 517–

, May 2007.

Leduc, J. P.and Poncin, O. Quantization algorithm and buffer regulation for universal video codec

in the ATMBelgian broadband experiment. Proceedings of Fifth European Conference on

EUSIPCO.873–876, 1990.

Lee, H. J. Chiang, T. and Zhang, Y. Q. Scalable rate control for MPEG-4 video. IEEE Transactions

on Circuits and Systems for Video Technology, 10.878–894, Sep 2000.

Lee, H. J. Chiang, T. and Zhang, Y. Q. Scalable rate control for very low bitrate video. Proceedings

of the International Conference on Image Processing .768–771, Oct 1997.

Li, Z. Pan, F. Lim, K. P. Feng, G. Lin, X. and Rahardja, S. Adaptive basic unit layer rate control for

JVT, Doc. JVT-G012-r1, Thailand, Mar 2003.

Liu, J. Cho, Y. and Guo, Z. Frame-based bit allocation for spatial scalability in H.264/SVC.

Proceedings of ICME, 189–192. Jun 2009.

Liu, Y. Li, Z. G. and Soh, Y. C. A novel rate control scheme for low delay video communication of

H.264/AVC standard. IEEE Transactions on Circuits and Systems for Video Technology, 17(1),

–78. Jan 2007.

Liu, Y. Li, Z. G. and Soh, Y. C. Rate control of H.264/AVC scalable extension. IEEE Transactions

on Circuits and Systems for Video Technology, 18(1).116–121, Jan 2008.

Ma, S. Gao, W. and Lu, Y. Rate-distortion analysis for H.264/AVC video coding and its application

to rate control. IEEE Transactions on Circuits and Systems for Video Technology, 15(12), 1533–

Dec 2005.

MPEG-4 Video Verification Model V8.0. ISO/IEC JTC1/SC29/WG11 Coding of Moving Pictures

and Associated Audio MPEG97/N1796. July 1997.

Ohm, J. Advances in scalable video coding. Proceedings of IEEE International Conference,

(1):42–56, Jan. 2005.

Phillips, C. L. and.Harbor, R. D. Basic Feedback Control Systems, 2nd ed. Englewood Cliffs, NJ.

Prentice-Hall, 1991.

Ribas-Corbera, J. and Lei, S. Rate control in DCT video coding for low-delay communications.

IEEE Transactions on Circuits and Systems for Video Technology, 9.172–185, Feb 1999.

Schwarz, H. Marpe, D. and Wiegand, T. Overview of the scalable video coding extension of the

H.264/AVCstandard. IEEE Transactions on Circuits and Systems for Video Technology,

(9).1103–1120, Sep 2007.

Seo, K. Heo, S. and Kim, J. Adaptive rate control algorithm based on logarithmic R-Q model for

MPEG-1 to MPEG-4 transcoding. Signal Processing Image Communication, 17(10).857–875, Nov

Sun, Y. Ahmad, I. A Robust and Adaptive Rate Control Algorithm for Object based Video Coding.

IEEE Transactions on Circuits and Systems for Video Technology, 14(10). 1167–1182, Oct 2004.

Test Model Editing Committee. MPEG-2 Video Test Model 5 (TM5). ISO/IEC JTC1/SC29/WG11,

MPEG Meeting, Doc N0400, Apr 1993.

Vetro, A. Sun, H. and Wang, Y. MPEG-4 rate control for multiple video objects, IEEE Transactions

on Circuits and Systems for Video Technology, 9.186–199, Feb 1999.

Video Group. MPEG-4 Video Verification Model Version 8.0 (VM8). ISO/IEC JTC1/SC29/WG11,

MPEG 40th Meeting, Doc N1796, Jul 1997.

Vieron, J. Wien, M. and Schwarz, H. JSVM Reference Software, ITU-T SG16/Q6 VCEG Doc

VCEG-AM13. 2010.

Wang, H. and Kwong, S. Rate-distortion optimization of rate control for H.264 with adaptive initial

quantization parameter determination. IEEE Transactions on Circuits and Systems for Video

Technology, 18(1).140–144, Jan 2008.

Wu, Y. Sun, Y. Feng, Z. and Zhang, H. A novel total variation based frame layer rate control

algorithm for H.264/AVC. Journal of Visual Communication and Image Representation,

(25).879 – 890, Feb 2014.

Xu, L. Gao, W. Ji, X. and Zhao, D. Rate control for hierarchical B-picture coding with scalingfactors.

Proceedings of IEEE International Conference on ISCAS, 49–52. May 2007.

Downloads

Published

2017-01-31

How to Cite

BALAJI, L. ., DHANALAKSHMI, A. ., & CHELLASWAMY, C. . (2017). A VARIANCE DISTORTION RATE CONTROL SCHEME FOR COMBINED SPATIALTEMPORAL SCALABLE VIDEO CODING. Journal of Mobile Multimedia, 12(3-4), 277–290. Retrieved from https://journals.riverpublishers.com/index.php/JMM/article/view/4471

Issue

Section

Articles