A QoS evaluation of video traffic models for H.264 AVC video

S. Tanwir, H. Perros, B. Anjum
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引用次数: 13

Abstract

In this paper, we evaluated and compared the QoS behavior of video traffic models for H.264 AVC video. The H.264 AVC models that we evaluated are: the Markov Modulated Gamma (MMG) model, the Discrete Autoregressive (DAR) model, the second order Autoregressive AR(2) model, and a wavelet-based model. These models were used to generate synthetic packet traces which were used in a simulation model to estimate the 95th percentile of the end-to-end delay, jitter and packet loss. The QoS metrics of the generated traces are compared with those of the original traces available from the Arizona State University video traces library. We observed that none of the model produces accurate results for every type of video but the MMG model produced the results closest to the actual traces.
H.264 AVC视频流量模型的QoS评价
本文对H.264 AVC视频流量模型的QoS行为进行了评价和比较。我们评估的H.264 AVC模型有:马尔可夫调制伽马(MMG)模型、离散自回归(DAR)模型、二阶自回归AR(2)模型和基于小波的模型。这些模型被用来生成合成的数据包轨迹,并用于仿真模型来估计端到端延迟、抖动和数据包丢失的第95百分位数。生成轨迹的QoS指标与亚利桑那州立大学视频轨迹库中可用的原始轨迹进行比较。我们观察到,没有一个模型对每种类型的视频都产生准确的结果,但MMG模型产生的结果最接近实际轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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