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首页> 外文期刊>Journal of visual communication & image representation >Random linear network coding with ladder-shaped global coding matrix for robust video transmission
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Random linear network coding with ladder-shaped global coding matrix for robust video transmission

机译：具有梯形全局编码矩阵的随机线性网络编码，可实现鲁棒的视频传输

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摘要

Robust video multicast in erasure networks using network coding (NC) to reduce the impact of packet loss is studied in this paper. In our proposed solution, random linear network coding (RLNC) is adopted at intermediate nodes of the network. RLNC linearly combines a group of packets by randomly selecting weighting coefficients on a finite field, and the loss of an RLNC-coded packet is equivalent to the loss of one constraint in a linear system of equations required for RLNC decoding. Unless the global coding coefficient matrix, or simply called the global coding matrix (GCM), is of full rank, a receive node cannot reconstruct all source packets. To address this rank deficiency problem, we propose to construct a special-structured GCM, called the ladder-shaped GCM (LGCM), for layered H.264/SVC (scalable video coding) video multicast. The ladder shape of the sparse coding matrix is maintained throughout the RLNC process to achieve two objectives: (1) to enable partial decoding of a block; and (2) to provide unequal erasure protection for H.264/SVC priority layers. Furthermore, quality degradation is minimized by optimizing the amount of redundancy assigned to each layer, and graceful quality degradation is achieved by error concealment (EC). Simulation results are given to demonstrate the superior performance of the proposed RLNC-LGCM scheme over the traditional RLNC with a general GCM.
机译：本文研究了在擦除网络中使用网络编码（NC）来减少丢包影响的鲁棒视频多播。在我们提出的解决方案中，在网络的中间节点采用随机线性网络编码（RLNC）。 RLNC通过在有限域上随机选择加权系数来线性地组合一组数据包，并且RLNC编码数据包的丢失等同于RLNC解码所需的线性方程组中一个约束的丢失。除非全局编码系数矩阵或简称为全局编码矩阵（GCM）具有完整等级，否则接收节点无法重建所有源数据包。为了解决这种秩不足的问题，我们建议为分层的H.264 / SVC（可伸缩视频编码）视频多播构建一个特殊结构的GCM，称为梯形GCM（LGCM）。在整个RLNC过程中，稀疏编码矩阵的梯形保持不变，以实现两个目标：（1）能够对块进行部分解码； （2）为H.264 / SVC优先级层提供不平等的擦除保护。此外，通过优化分配给每个层的冗余量，可以最大程度地降低质量下降，并且通过错误隐藏（EC）可以实现适度的质量下降。仿真结果证明了所提出的RLNC-LGCM方案优于具有常规GCM的传统RLNC的性能。

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