Lossless Compression of Video using Motion Compensation

Bo Martins, Søren Forchhammer

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    Abstract

    Summary form only given. We investigate lossless coding of video using predictive coding and motion compensation. The new coding methods combine state-of-the-art lossless techniques as JPEG (context based prediction and bias cancellation, Golomb coding), with high resolution motion field estimation, 3D predictors, prediction using one or multiple (k) previous images, predictor dependent error modelling, and selection of motion field by code length. We treat the problem of precision of the motion field as one of choosing among a number of predictors. This way, we can incorporate 3D-predictors and intra-frame predictors as well. As proposed by Ribas-Corbera (see PhD thesis, University of Michigan, 1996), we use bi-linear interpolation in order to achieve sub-pixel precision of the motion field. Using more reference images is another way of achieving higher accuracy of the match. The motion information is coded with the same algorithm as is used for the data. For slow pan or slow zoom sequences, coding methods that use multiple previous images perform up to 20% better than motion compensation using a single previous image and up to 40% better than coding that does not utilize motion compensation
    Original languageEnglish
    Title of host publicationData Compression Conference, 1998. DCC '98. Proceedings
    PublisherIEEE
    Publication date1998
    Pages560-560
    ISBN (Print)0-8186-8406-2
    DOIs
    Publication statusPublished - 1998
    EventData Compression Conference 1998 - Snowbird, UT, United States
    Duration: 30 Mar 19981 Apr 1998
    http://www.informatik.uni-trier.de/~ley/db/conf/dcc/dcc98.html

    Conference

    ConferenceData Compression Conference 1998
    Country/TerritoryUnited States
    CitySnowbird, UT
    Period30/03/199801/04/1998
    Internet address

    Bibliographical note

    Copyright: 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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