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dc.contributor.authorYovanof, Gregory S.
dc.date.accessioned2016-06-23T19:56:23Z
dc.date.available2016-06-23T19:56:23Z
dc.date.issued1989-11
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/614505
dc.descriptionInternational Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, Californiaen_US
dc.description.abstractAn update review of the advances in data compression of video signals is presented with the focus being on schemes best suited for telemetry applications. Several important features for image compression are addressed which serve as guidelines in the design of data compression schemes for custom specific applications. In accordance with this list of distinguishing attributes, a classification of existing compression algorithms is attempted. Two major classes of encoding techniques, transform and predictive encoding, are treated in thorough detail.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.titleAN OVERVIEW OF VIDEO CODING TECHNIQUESen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentCYCLOTOMICS, Inc.en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
refterms.dateFOA2018-09-11T13:52:31Z
html.description.abstractAn update review of the advances in data compression of video signals is presented with the focus being on schemes best suited for telemetry applications. Several important features for image compression are addressed which serve as guidelines in the design of data compression schemes for custom specific applications. In accordance with this list of distinguishing attributes, a classification of existing compression algorithms is attempted. Two major classes of encoding techniques, transform and predictive encoding, are treated in thorough detail.


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