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Motion-compensated predictive coding of image sequences : analysis and evaluation

In this study, motion-compensated predictive coding of monochrome image sequences was investigated. The goals were to evaluate the performance limits of this coding method, to determine its relative advantages in comparison to other predictive coding techniques not compensated for motion, and to identify the factors which limit further improvements in performance. A motion-compensated prediction algorithm which estimates displacements only from previously-transmitted data was presented, and was shown to be nearly optimal. At low distortion levels, an adaptive intra-inter-frame predictor not compensated for motion was found to be almost as effective as motion-compensated prediction. At higher distortion levels, however, motion-compensated predictive coding becomes more attractive. The main factors which limit the performance of motion-compensated predictors were identified as: input noise, spatial interpolation errors, and the local nature of the displacement estimation methods. Methods to control these limiting factors were suggested.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.72065
Date January 1985
CreatorsO'Shaughnessy, Richard.
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageDoctor of Philosophy (Department of Electrical Engineering.)
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
Relationalephsysno: 000387987, proquestno: AAINL24068, Theses scanned by UMI/ProQuest.

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