Discrete-time self-similar systems and stable distributions: applications to VBR video modeling

Abstract

This paper investigates the application of discrete-time statistically self-similar systems to modeling variable-bit rate (VBR) video traces. Potential application to classifying scenes in VBR video is explored. The work is motivated by the fact that while VBR video has been characterized as self-similar by various researchers, models based on self… (More)

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