A TES-based model for compressed "star Wars" video

Benjami Melamed, Dimitrio Pendarakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

This paper presents a stochastic model for the variable bit rate (VBR) video of the entire "Star Wars" movie under a JPEG-like compression. The goal of this work is to develop a methodology for constructing a suite of high-fidelity source models of full-motion video as a traffic benchmark suitable for driving realistic Monte Carlo simulations of broadband telecommunications networks (ATM based B-ISDN). To this end, a transform-expand-sample) TES-based modeling methodology was employed, subject to fidelity criteria requiring the simultaneous capture of both first-order and second-order statistics. The entire movie was modeled as a Markov renewal modulated TES (MRMT) process with class-dependent holding times. The modeling results support the efficacy of the modeling methodology and suggest that high-fidelity compact source models of full-motion video can be developed by applying this methodology to other types of movies under a variety of coding schemes.

Original languageEnglish (US)
Title of host publication1994 IEEE GLOBECOM - Communications
Subtitle of host publicationCommunications Theory Mini-Conference Record
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages120-126
Number of pages7
ISBN (Electronic)078031820X, 9780780318205
DOIs
StatePublished - 1994
Externally publishedYes
Event3rd Communications Theory Mini-Conference, CTMC 1994, held in conjunction with IEEE GLOBECOM 1994 - San Francisco, United States
Duration: Nov 27 1994Dec 1 1994

Publication series

Name1994 IEEE GLOBECOM - Communications: Communications Theory Mini-Conference Record

Conference

Conference3rd Communications Theory Mini-Conference, CTMC 1994, held in conjunction with IEEE GLOBECOM 1994
Country/TerritoryUnited States
CitySan Francisco
Period11/27/9412/1/94

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing

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