@inproceedings{90cc10c4093c46d6ac2c02c2d3dfc0bc,
title = "Improved Bit Allocation Using Distortion for the CTU-Level Rate Control in HEVC",
abstract = "The research on rate control has always been a hot topic in video coding. Although H.265/HEVC is the latest video coding standard, the mismatch between the number of target bits and that of actual coding bits in the coding process still exists. A large number of experimental results have shown that the R-D model is superior to the R-λ model in terms of the matching degree of bit allocation. In this paper, a novel bit allocation method is proposed. First, the recursive Taylor expansion equation solving method is used to solve the rate-distortion (constrained problem) optimization equation, and then the R-D model is used to optimize the CTU-level target bit allocation.The simulation results indicate that the average bitrate error is only 0.19\%, while the mean peak signal-to-noise ratio (MPSNR) increases by 0.14 dB.",
keywords = "Bit allocation, HEVC, R-D model, Rate control",
author = "Xin Lu and Bixing Zhou and Xuesong Jin and Yanfeng Gu",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",
year = "2019",
doi = "10.1007/978-981-13-6264-4\_35",
language = "英语",
isbn = "9789811362637",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "292--301",
editor = "Qilian Liang and Zhenyu Na and Xin Liu and Wei Wang and Jiasong Mu and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 1",
address = "德国",
}