DOI QR코드

DOI QR Code

DZDC Coefficient Distributions for P-Frames in H.264/AVC

  • Wu, Wei (State Key Laboratory of Integrated Services Networks, Xidian University) ;
  • Song, Bin (State Key Laboratory of Integrated Services Networks, Xidian University)
  • Received : 2010.12.07
  • Accepted : 2011.04.18
  • Published : 2011.10.31

Abstract

In this letter, the distributions of direct current (DC) coefficients for P-frames in H.264/AVC are analyzed, and the distortion model of the Gaussian source under the quantization of the dead-zone plus-uniform threshold quantization with uniform reconstruction quantizer is derived. Experimental results show that the DC coefficients of P-frames are best approximated by the Laplacian distribution and the Gaussian distribution at small quantization step sizes and at large quantization step sizes, respectively.

Keywords

References

  1. A. Vetro, H. Sun, and Y. Wang, "MPEG-4 Rate Control for Multiple Video Objects," IEEE Trans. Circuits Syst. Video Technol., vol. 9, no. 1, Feb. 1999, pp. 186-199. https://doi.org/10.1109/76.744285
  2. X. Li et al, "Laplace Distribution Based Lagrangian Rate Distortion Optimization for Hybrid Video Coding," IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 2, Feb. 2009, pp. 193-205. https://doi.org/10.1109/TCSVT.2008.2009255
  3. S.R. Smoot and L.A. Rowe, "Study of DCT Coefficient Distributions," Proc. SPIE, 1996, pp. 403-411.
  4. Z.Z. Chen and K.N. Ngan, "Towards Rate-Distortion Tradeoff in Real-Time Color Video Coding," IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 2, Feb. 2007, pp. 158-167. https://doi.org/10.1109/TCSVT.2006.888022
  5. H.264/AVC Reference Software Version JM 16.0. Available: http://iphome.hhi.de/suehring/tml/
  6. G.J. Sullivan and S. Sun, "On Dead-Zone Plus Uniform Threshold Scalar Quantization," Proc. SPIE Visual Commun. Image Process., 2005, pp. 1041-1052.
  7. D.S. Turaga, Y. Chen, and J. Caviedes, "No Reference PSNR Estimation for Compressed Pictures," Signal Process. Image Commun., vol. 19, no. 2, Sept. 2004, pp. 173-184. https://doi.org/10.1016/j.image.2003.09.001

Cited by

  1. Robust Background Subtraction for Network Surveillance in H.264 Streaming Video vol.23, pp.10, 2013, https://doi.org/10.1109/tcsvt.2013.2255416