Priority-Aware Joint Packet Fragmentation and Error Protection Scheme for H.264 Video over Wireless Channels

Seethal Paluri, K. Kambhatla, M. Medley, J. Matyjas, Sunil Kumar
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引用次数: 6

Abstract

We present a real-time, priority-aware joint packet fragmentation and error protection scheme for transmitting H.264/AVC compressed video over Rayleigh fading channels. A priority is assigned to every video slice based on the predicted cumulative mean squared error (CMSE) contributed by its loss relative to all the slices of the group of pictures (GOP). Here, the CMSE of a slice, which is predicted by using our low-complexity generalized linear model, represents the degradation in video quality contributed by its loss. The slices of a frame belonging to the same priority are aggregated to form video packet(s). We simulate the fragment error rates (FERs) for a combination of different fragment sizes and rate compatible punctured convolutional (RCPC) code rates. These FERs are then used to determine the optimal fragment sizes and code rates for packets of each priority class by minimizing the expected normalized predicted CMSE of all the priority classes per GOP in H.264 video bitstream. We observed a significant improvement in the received video quality over the conventional and priority-agnostic packet fragmentation schemes.
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无线信道上H.264视频的优先级感知联合分组碎片和错误保护方案
针对H.264/AVC压缩视频在瑞利衰落信道上的传输,提出了一种实时、优先级感知的联合分组碎片和错误保护方案。根据预测的累积均方误差(CMSE)为每个视频切片分配优先级,CMSE是由其相对于图像组(GOP)的所有切片的损失贡献的。在这里,使用我们的低复杂度广义线性模型预测的切片的CMSE表示由其损失导致的视频质量下降。具有相同优先级的帧的片被聚合成视频包。我们模拟了不同片段大小和速率兼容的穿孔卷积(RCPC)码率组合的片段错误率。然后,通过最小化H.264视频比特流中每个GOP中所有优先级类的预期规范化预测CMSE,这些fer用于确定每个优先级类的数据包的最佳片段大小和码率。我们观察到接收到的视频质量比传统的和优先级无关的分组分片方案有显著的改善。
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