基于非等损失保护的嵌入式视频流粒子群算法

Jiajing Hu, Dong Hu
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引用次数: 1

摘要

提出了一种在有损网络中实现可扩展多媒体数据最优分组的新方案。该算法通过为每段传输数据包分配不等数量的前向纠错(FEC)比特,保护了三维分层树集划分(3-D SPIHT)算法生成的渐进比特流。采用粒子群优化(PSO)算法在数据包间合理分配源编码和信道编码的比特数。实验结果表明,该算法具有接近最优平均峰值信噪比的性能,且运行时间明显低于已知解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Partical swarm optimization based unequal loss protection of embedded video streams
This paper presents a new scheme for optimal packetization of scalable multimedia data over lossy network. By assigning an unequal amount of forward error correction (FEC) bits to each segment of transmission packets, the proposed algorithm protects a progressive bitstream generated by a three-dimensional set partitioning in hierarchical trees (3-D SPIHT) algorithm. The partical swarm optimization (PSO) algorithm is used to reasonably allocate bits between source coding and channel coding across packets. Experimental results show that the proposed algorithm provides close to optimal average peak signal-to-noise ratio performance and that its' running time is significantly lower than that of previously known solution.
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