Frame bit allocation for the H.264/AVC video coder via Cauchy-density-based rate and distortion models

@article{tocsvt05-kamaci-frame, 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.}, author = {Kamaci, N. and Altunbasak, Y. and Mersereau, R. M. }, booktitle = {Circuits and Systems for Video Technology, IEEE Transactions on}, citeulike-article-id = {2795217}, doi = {10.1109/TCSVT.2005.852400}, journal = {Circuits and Systems for Video Technology, IEEE Transactions on}, keywords = {cauchy, coder, density, distortion, h264, model, rate, video}, number = {8}, pages = {994--1006}, posted-at = {2008-05-13 15:52:01}, priority = {0}, title = {Frame bit allocation for the H.264/AVC video coder via Cauchy-density-based rate and distortion models}, url = {http://dx.doi.org/10.1109/TCSVT.2005.852400}, volume = {15}, year = {2005} }

TY - JOUR ID - tocsvt05-kamaci-frame L3 - citeulike-article-id:2795217 TI - Frame bit allocation for the H.264/AVC video coder via Cauchy-density-based rate and distortion models T2 - Circuits and Systems for Video Technology, IEEE Transactions on JF - Circuits and Systems for Video Technology, IEEE Transactions on VL - 15 IS - 8 SP - 994 EP - 1006 N2 - 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. KW - cauchy KW - coder KW - density KW - distortion KW - h264 KW - model KW - rate KW - video AU - Kamaci, N AU - Altunbasak, Y AU - Mersereau, RM PY - 2005/// UR - http://dx.doi.org/10.1109/TCSVT.2005.852400 ER -