H.265视频传输的非等差编码方案

Yekeng Huang, Meiying Ji, Jiachen Sun, Baodian Wei, Xiao Ma
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引用次数: 1

摘要

本文提出了一种新的多层不等错保护(UEP)叠加传输(ML-UEP-by-ST)编码方案,它比部分叠加传输(UEP -by- pst)编码方案提供了更好的错误保护能力。然后将这种新的编码方案应用到H.265标准的视频传输中,其中一个视频比特流可以被视为一系列的一个或多个组。每个组由编码视频序列(CVS)和参数集或仅由CVS组成。在ML-UEP-by-ST系统中,H.265视频比特流的每一组被平均划分为三个部分,最重要的部分(A部分),不太重要的部分(B部分)和最不重要的部分(C部分)。这三个部分中的每一部分都由第五代移动网络(5G)中标准化的低密度奇位校验(LDPC)编码。然后,传输由三个部分组成。第一次传输是编码的A部分,第二次传输是编码的B部分与编码的A部分的交错版本的叠加,第三次传输是编码的C部分与第二传输的交错版本的叠加。仿真结果表明,该方案在加性高斯白噪声信道和瑞利衰落信道上的性能均优于传统的等误差保护(EEP)方案和两级UEP-by- pst方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Unequal Coding Scheme for H.265 Video Transmission
In this paper, we propose a new multi-level unequal error protection (UEP) by superposition transmission (referred to as ML-UEP-by-ST) coding scheme, which provides finer error protection abilities than the unequal error protection by partial superposition transmission (referred to as UEP-by-PST) coding scheme. This new coding scheme is then applied to video transmission with the H.265 standard, where a video bitstream can be regarded as a series of one or more groups. Each group consists of either a coded video sequence (CVS) and parameter sets or a CVS only. In the ML-UEP-by-ST system, each group of an H.265 video bitstream is partitioned equally into three parts, the most important part (Part A), the less important part (Part B) and the least important part (Part C). Each of these three parts is encoded by the same low-density parity check (LDPC) code as standardized in the fifth generation mobile networks(5G). The transmission is then formed by three sections. The first transmission is coded Part A, the second transmission is the superposition of coded Part B and the interleaved version of coded Part A, and the third transmission is the superposition of coded Part C and the interleaved version of the second transmission. Simulation results show that the performance of our proposed UEP scheme is better than the traditional equal error protection (EEP) scheme and the two-level UEP-by-PST scheme over both additive white Gaussian noise (AWGN) channels and Rayleigh fading channels.
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