Time Series Analysis of H.264 Video

Hiba H. S. M. Ali, Sami M. Sharif
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Abstract

The aim of this paper is to investigate the statistical properties of H.264/AVC video sequences. The stationarity, dependence properties and self-similarity are investigated. Analysis of the H.264/AVC video sequences variable bit rate (VBR) traffic has shown that this data has strong self-similarity properties as well as noticeable long range dependence (LRD) and short range dependence (SRD). The stationarity of H.264 video sequences is investigated by applying the fractional differencing technique and implemented with Haar maximal overlap discrete wavelet transform. The results indicate that the H.264 video is 2nd order stationary.
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H.264视频的时间序列分析
本文的目的是研究H.264/AVC视频序列的统计特性。研究了系统的平稳性、依赖性和自相似性。对H.264/AVC视频序列可变比特率(VBR)流量的分析表明,该数据具有较强的自相似特性,并且具有明显的远程依赖性(LRD)和短程依赖性(SRD)。采用分数阶差分技术研究了H.264视频序列的平稳性,并采用Haar最大重叠离散小波变换实现。结果表明,H.264视频是二阶平稳的。
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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