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Granular Computing pp 367–383Cite as

Modeling MPEG VBR Video Traffic Using Type-2 Fuzzy Logic Systems

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 70))

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.

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Author information

Authors and Affiliations

  1. Signal and Image Processing Institute, Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, 90089-2564, USA

    Qilian Liang & Jerry M. Mendel

Authors
  1. Qilian Liang
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  2. Jerry M. Mendel
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Alberta, T6R 2G7, Edmonton, Alberta, Canada

    Witold Pedrycz

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Witold Pedrycz

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© 2001 Springer-Verlag Berlin Heidelberg

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Liang, Q., Mendel, J.M. (2001). Modeling MPEG VBR Video Traffic Using Type-2 Fuzzy Logic Systems. In: Pedrycz, W. (eds) Granular Computing. Studies in Fuzziness and Soft Computing, vol 70. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1823-9_16

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  • DOI: https://doi.org/10.1007/978-3-7908-1823-9_16

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2487-2

  • Online ISBN: 978-3-7908-1823-9

  • eBook Packages: Springer Book Archive

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