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Wavelet Models for Video Time-series

 Sheng Ma and Chuanyi Ji
  
 

Abstract:
In this work, we tackle the problem of time-series modeling posed by recent discoveries on variable bit rate video traffic and Ethernet data traffic, and establish a wavelet model on the time-series. Different from the existing methods which model the time-series in the time domain, we model the wavelet coefficients in the wavelet domain. The strength of the wavelet model includes (1) a unified approach to model both the long-range and the short-range dependence in the video and data traffic simultaneously, (2) a computationally efficient method of developing the model and generating high quality video traffic, and (3) feasibility of performance analysis using the model. Analysis and insights will be given to show why wavelets provide excellent models for the time-series.

 
 


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