Modeling MPEG VBR video traffic using type-2 fuzzy logic systems

Authors:
Qilian Liang;Jerry M. Mendel
Affiliations:
Signal and Image Processing Institute, Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA;Signal and Image Processing Institute, Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA
Venue:
Granular computing
Year:
2001

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Abstract

In this chapter, we present a new approach for MPEG variable bit rate (VBR) video modeling using a type-2 fuzzy logic system (FLS). We demonstrate that a type-2 fuzzy membership function, i.e., a Gaussian MF with uncertain variance, is most appropriate to model the log-value of I/P/B frame sizes in MPEG VBR video. We treat the video traffic as a dynamic system, and use a type-2 FLS to model this system. Simulation results show that a type-2 FLS performs much better than a type-1 FLS in video traffic modeling.