Long-term prediction for VBR video traffic based on wavelet packet decomposition

CHEN Jian1; WEN Ying-you1; ZHAO Da-zhe1; LIU Ji-ren1

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Long-term prediction for VBR video traffic based on wavelet packet decomposition

更新时间：2024-10-14

- Long-term prediction for VBR video traffic based on wavelet packet decomposition
- Issue 6, Pages: 34-42(2008)
- 作者机构：
  
  1. 东北大学信息科学与工程学院
  2. 东北大学信息科学与工程学院,辽宁,沈阳,110004
  3. 东北大学计算机软件工程国家研究中心
  4. ,辽宁,沈阳,110179
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.8
- Published：2008
- 稿件说明：
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CHEN Jian1, WEN Ying-you1, ZHAO Da-zhe1, et al. Long-term prediction for VBR video traffic based on wavelet packet decomposition[J]. 2008, (6): 34-42.
DOI：

CHEN Jian1, WEN Ying-you1, ZHAO Da-zhe1, et al. Long-term prediction for VBR video traffic based on wavelet packet decomposition[J]. 2008, (6): 34-42. DOI：

摘要

长时预测是VBR视频流量预测领域中的难点问题。针对其时变、非线性以及长相关性等特点

提出一种多尺度分解的VBR视频业务的特征提取方法。选择具有任意多分辨分解特性的小波包

对其进行空间划分并求解适合视频信号特征提取的最优分解基。基于最优基对视频信号进行快速多尺度分解

得到了各级节点的小波系数矩阵

建立了基于最小二乘支持向量机与最小均方的小波系数预测方法。最后

根据预测小波系数

进一步提出了基于小波系数逆变换的视频流量长时预测方法。仿真结果验证了此算法的有效性。

Abstract

Long-term prediction is one of the most difficult problems in the area of VBR video traffic prediction.As to the time variation

non-linearity and long range dependence in VBR video traffic trace

a novel method of feature based on multi-scale decomposition was proposed.On the analysis of the time-frequency distribution characteristics of the video trace

the wavelet packets which have the trait of arbitrary distinction and decomposition are selected.After space partition of wavelet packets

the best wavelet packet basis for feature extraction is picked out.Based on the best basis

it can do fast arbitrary multi-scale WPT（wavelet packet transform）

and obtain each higher dimension wavelet coefficients matrix.And then wavelet coefficients prediction is proposed based on LS-SVM and LMS algorithms.The long-term pre-diction of VBR video traffic is obtained through reverse wavelet transforms on the predicted wavelet coefficients.Nu-merical and simulation results are provided to validate the claims.

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