Analysis of video run-length coding for a first-order Markov model

dc.contributor.advisorSimpson, R. S.
dc.contributor.committeeMemberShehadeh, Nazmi M.
dc.contributor.committeeMemberDalton, Charles
dc.creatorGray, Kenneth Gene
dc.description.abstractFor a mathematical analysis of a run-length coding system, a video-data source is modeled by a first-order Markov process with the run lengths fitting a geometric probability distribution. From these assumptions an upper bound on the bit compression ratio is derived and compared to the theoretical upper bound of the Markov source. Four digitized pictures stored on a magnetic tape are used to find the statistics needed in computer simulation to determine the bit compression ratios using the above model.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleAnalysis of video run-length coding for a first-order Markov model
dc.type.genreThesis of Engineering Engineering, Department of Engineering of Houston of Science


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