Cross-Layer Joint Optimization of FEC Channel Codes and Multiple Description Coding for Video Delivery over IEEE 802.11e Links

S. Milani, G. Calvagno, R. Bernardini, P. Zontone
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引用次数: 11

Abstract

The paper presents two cross-layer optimization strategies based on the IEEE 802.11e standard that enable a robust video transmission using adaptively forward error correction (FEC) channel codes at transport layer and a multiple description coding (MDC) architecture. The first approach estimates an array of correlation measures for the group of picture to be transmitted and classifies it using a vector quantizer. The most appropriate coding mode is selected according to the correlation class and the channel conditions obtained through a cross-layer signalling protocol. The second solution relies on a parametric model of the channel distortion based on the percentage of null quantized transform coefficients, which can be obtained during the coding operations. According to the state of the network, the optimization algorithm estimates the expected quality of the reconstructed sequence for each mode and chooses the best one. Experimental results show that both algorithms perform well with a small computational effort but different playout delays.
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IEEE 802.11e链路视频传输FEC信道码和多重描述编码的跨层联合优化
本文提出了基于IEEE 802.11e标准的两种跨层优化策略,通过在传输层使用自适应前向纠错(FEC)信道码和多描述编码(MDC)架构实现鲁棒视频传输。第一种方法是估计要传输的图像组的一系列相关度量,并使用矢量量化器对其进行分类。根据通过跨层信令协议获得的相关类和信道条件选择最合适的编码模式。第二种解决方案依赖于基于零量化变换系数百分比的信道失真参数模型,该模型可以在编码操作中获得。优化算法根据网络的状态,对每一种模式的重构序列的期望质量进行估计,并选择最优的重构序列。实验结果表明,两种算法都具有较好的性能,计算量小,但播放延迟不同。
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