The Two Gamma Autoregressive Video Model on ATM Networks

Xie Xiaoming; Huang Zailu; WuYan; Hong Xinwei

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The Two Gamma Autoregressive Video Model on ATM Networks

更新时间：2025-12-08

- The Two Gamma Autoregressive Video Model on ATM Networks
- Acta Electronica Sinica Issue 1, (1999)
- 作者机构：
  
  华中理工大学电信系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN913.21
- Published：1999
- 稿件说明：
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[1]谢晓明,黄载禄,吴晏,洪新伟.ATM网的双Gamma自回归视频模型[J].电子学报,1999(01):39-41.

Xie Xiaoming, Huang Zailu, WuYan, et al. The Two Gamma Autoregressive Video Model on ATM Networks[J]. Acta Electronica Sinica, 1999, (1).
[1]谢晓明,黄载禄,吴晏,洪新伟.ATM网的双Gamma自回归视频模型[J].电子学报,1999(01):39-41. DOI：

Xie Xiaoming, Huang Zailu, WuYan, et al. The Two Gamma Autoregressive Video Model on ATM Networks[J]. Acta Electronica Sinica, 1999, (1). DOI：

摘要

本文提出了一种新的ＶＢＲ视频业务模型：三态马尔科夫链下的双一阶自回归Ｇａｍｍａ序列（２ＧＡＲ（１））．该模型的Ｇａｍｍａ分布特性能较好地描述ＶＢＲ业务比特流的分布，由自相关函数决定的模型系数更充分地描述了自相关函数的行为，利用三态马尔科夫链的两个补充过程可以较理想地描述场景切换下的视频业务模型．文中对这一模型进行了较详细的分析，给出了确定模型参数的方法，并得出了一些重要结论．

Abstract

In this paper

we propose a new VBR video model

a double first order autoregressive Gamma sequence with a three state Markov chain （2 GAR（1））.First

its characteristic of Gamma distribution can follow the bit rate of a VBR video source better.Second

the model’s coefficients determined by the autocorrelation function can explain the function’s behavior better.Third

the modeling of video source is accomplished using the three state Markov chain including the effects of scene change.We analyze the model in detail.Also

we give the methods to determine the parameters

and reach some important conclusions.

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Related Institution

EIE Dept，HUST

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State Key Laboratory of ISN,Xidian University,Xian

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