大时间尺度上MPEG4视频流量预测的自适应算法

Adaptive Algorithm for MPEG4 Video Traffic Prediction on Large Time Scale

为了保证用户的服务质量(QoS),宽带分组网络需要进行动态带宽分配,而视频流量预测在动态带宽分配中发挥着重要的作用。本文从自相关性、自相似性的Hurst参数两个方面,阐明图像组(GOP)时间尺度上的流量能够体现原有视频帧序列的流量特性,并在固定步长的LMS自适应算法(FSSA)的基础上提出了一种新的可变步长自适应算法(VSSA),在GOP所表示的大时间尺度上预测MPEG4视频流量。大量的仿真实验结果表明,VSSA算法可以明显地改善预测性能。

Dynamic bandwidth allocation is needed to guarantee quality of service , while video traffic prediction plays an important role in dynamic bandwidth allocation. In this paper, both autocorrelation and Hurst parameter of self-similarity are illustrated to show that traffic character of original frame sequence can be represented by traffic on the time scale of GOP. A new variable step size adaptive algorithm is also presented based on the fixed step size adaptive algorithm, which is used to predict MPEG4 video traffic on large time scale of GOP. And VSSA algorithm can improve performance of prediction significantly according to a number of simulations.