摘要: 为解决实时可变码率(VBR)视频在传输中难以准确预测流量的问题,提出一种变带宽核密度估计算法。该算法以核密度估计算法为基础,针对VBR视频的场景切换特性动态改变各样本点的带宽,加快算法收敛速度。仿真结果表明,与变步长归一化最小均方法相比,该算法能够减少10%左右的预测误差,保证流量预测具有较高的预测精度。
关键词:
动态带宽分配,
可变码率,
MPEG-4视频,
实时预测,
变带宽核密度估计
Abstract: In order to reduce the difficulty of predicting the real-time Variable Bit Rate(VBR) video traffic, this paper proposes a novel algorithm called VBKDE(Variable Bandwidth Kernel Density Estimation). The algorithm is based on kernel density estimation. It dynamically updates the bandwidth of every sample when the scene change happens so as to accelerate the convergence. Simulation results show that, compared with variable step size normalized least mean square, the algorithm can reduce prediction errors by 10%.
Key words:
dynamic bandwidth allocation,
Variable Bit Rate(VBR),
MPEG-4 video,
real-time prediction,
Variable Bandwidth Kernel Density Estimation(VBKDE)
中图分类号:
吴俊琦, 倪宏, 李俊. 基于核密度估计的可变码率视频流量预测算法[J]. 计算机工程, 2012, 38(24): 262-265.
TUN Dun-Qi, NI Hong, LI Dun. Prediction Algorithm for VBR Video Traffic Based on Kernel Density Estimation[J]. Computer Engineering, 2012, 38(24): 262-265.