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dc.contributor.authorWu, Zhenyu
dc.contributor.authorBilgin, Ali
dc.contributor.authorMarcellin, Michael W.
dc.date.accessioned2016-04-08T23:05:31Zen
dc.date.available2016-04-08T23:05:31Zen
dc.date.issued2005-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/604932en
dc.descriptionITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevadaen_US
dc.description.abstractA practical joint source/channel coding algorithm is proposed for the transmission of multiple images and videos to reduce the overall reconstructed source distortion at the receiver within a given total bit rate. It is demonstrated that by joint coding of multiple sources with such an objective, both improved distortion performance as well as reduced quality variation can be achieved at the same time. Experimental results based on multiple images and video sequences justify our conclusion.
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.subjectjoint source/channel codingen
dc.subjectunequal error protectionen
dc.subjectJPEG2000en
dc.subjectmotion JPEG2000en
dc.titleJOINT SOURCE/CHANNEL CODING FOR TRANSMISSION OF MULTIPLE SOURCESen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentUniversity of Arizonaen
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.dateFOA2018-09-11T08:34:22Z
html.description.abstractA practical joint source/channel coding algorithm is proposed for the transmission of multiple images and videos to reduce the overall reconstructed source distortion at the receiver within a given total bit rate. It is demonstrated that by joint coding of multiple sources with such an objective, both improved distortion performance as well as reduced quality variation can be achieved at the same time. Experimental results based on multiple images and video sequences justify our conclusion.


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