Wavelet Models for Video Time-Series

Part of Advances in Neural Information Processing Systems 10 (NIPS 1997)

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Sheng Ma, Chuanyi Ji


In this work, we tackle the problem of time-series modeling of video traffic. Different from the existing methods which model the time(cid:173) 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 traffic simultaneously, (2) a computation(cid:173) ally efficient method on developing the model and generating high quality video traffic, and (3) feasibility of performance analysis us(cid:173) ing the model.