Frame bit allocation for the H.264/AVC video coder via Cauchy-density-based rate and distortion models
- 1 August 2005
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems for Video Technology
- Vol. 15 (8), 994-1006
- https://doi.org/10.1109/tcsvt.2005.852400
Abstract
Based on the observation that a Cauchy density is more accurate in estimating the distribution of the ac coefficients than the traditional Laplacian density, rate and distortion models with improved accuracy are developed. The entropy and distortion models for quantized discrete cosine transform coefficients are justified in a frame bit-allocation application for H.264. Extensive analysis with carefully selected anchor video sequences demonstrates a 0.24-dB average peak signal-to-noise ratio (PSNR) improvement over the JM 8.4 rate control algorithm, and a 0.33-dB average PSNR improvement over the TM5-based bit-allocation algorithm that has recently been proposed for H.264 by Li et al. The analysis also demonstrates 20% and 60% reductions in PSNR variation among the encoded pictures when compared to the JM 8.4 rate control algorithm and the TM5-based bit-allocation algorithm, respectively.Keywords
This publication has 27 references indexed in Scilit:
- A generalized hypothetical reference decoder for H.264/AVCIEEE Transactions on Circuits and Systems for Video Technology, 2003
- Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standardIEEE Transactions on Circuits and Systems for Video Technology, 2003
- Variable block-size transforms for H.264/AVCIEEE Transactions on Circuits and Systems for Video Technology, 2003
- A unified rate-distortion analysis framework for transform codingIEEE Transactions on Circuits and Systems for Video Technology, 2001
- Low-delay rate control for DCT video coding via ρ-domain source modelingIEEE Transactions on Circuits and Systems for Video Technology, 2001
- A mathematical analysis of the DCT coefficient distributions for imagesIEEE Transactions on Image Processing, 2000
- Rate control in DCT video coding for low-delay communicationsIEEE Transactions on Circuits and Systems for Video Technology, 1999
- Source model for transform video coder and its application. I. Fundamental theoryIEEE Transactions on Circuits and Systems for Video Technology, 1997
- On the error distribution and scene change for the bit rate control of MPEGIEEE Transactions on Consumer Electronics, 1993
- Asymptotically efficient quantizingIEEE Transactions on Information Theory, 1968