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.date.accessioned2022-08-17T16:46:10Z
dc.date.available2022-08-17T16:46:10Z
dc.date.issued1971
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.format.mimetypeapplication/pdf
dc.identifier.other13842702
dc.identifier.urihttps://hdl.handle.net/10657/10807
dc.language.isoen
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.dcmiText
dc.type.genreThesis
thesis.degree.collegeCollege of Engineering
thesis.degree.departmentElectrical Engineering, Department of
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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