一种基于缩减栅格算法的SVC联合信源/信道编码方法

A Joint Source/Channel Coding with Reduced Trellis Algorithm for the Scalable Extension of H.264/AVC

针对H.264/AVC可分级编码扩充标准（SVC）,本文提出了一种联合信源/信道编码（JSCC）的视频传输方法.该方法采用一种新型的缩减栅格算法与拉格朗日优化技术对SVC数据与差错控制保护级别进行最优分配.本文提出的缩减栅格算法采用疏散式栅格结构,实行依层计算与缩减队列的策略,计算效率比同类高效算法提高了约20~50倍.大量仿真数据表明,采用本文高效算法的JSCC方法在各种信道条件下达到同类方法相同的优化性能.

In this paper,a joint source/channel coding（JSCC） video transmission approach is proposed for the scalable extension of H.264/AVC coding（SVC） standard.The JSCC approach employs a novel reduced trellis algorithm and Lagrangian optimization technique to derive appropriate parts of the SVC stream and protection levels of error-control codes.The proposed algorithm uses a discrete trellis structure.With the layer-based computation method and a simplified structure,it improves computation efficiency by about 20-50 times over the state-of-the-art algorithm.Extensive simulation results show that the proposed JSCC scheme with the efficient algorithm provides same optimized performance with other algorithms under various channel conditions.