Drift controlled scalable wavelet based video coding in the overcomplete discrete wavelet transform domain

dc.contributor.authorSeran, V.en
dc.contributor.authorKondi, L. P.en
dc.date.accessioned2015-11-24T17:01:37Z
dc.date.available2015-11-24T17:01:37Z
dc.identifier.issn0923-5965-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10954
dc.rightsDefault Licence-
dc.subjectwavelet-based video codingen
dc.subjectscalable video codingen
dc.subjectwireless video transmissionen
dc.subjectdrift controlen
dc.subjectpacket loss resilienceen
dc.subjecthierarchical treesen
dc.titleDrift controlled scalable wavelet based video coding in the overcomplete discrete wavelet transform domainen
heal.abstractTraditional video coders use the previous frame to perform motion estimation and compensation. Though they are less complex and have minimum coding delays, these coders lose their efficiency when subjected to scalability requirements. Recent 3D wavelet coders using lifting schemes offer high compression efficiency and scalability without significant loss in performance. The main drawback of 3D coders is that they process several frames at a time. This introduces additional delay, which makes them less suitable for real time applications. In this work, we propose a novel scheme to minimize drift in scalable wavelet based video coding, which gives a balanced performance between compression efficiency and reconstructed quality with less drift. Our drift control mechanism maintains two frame buffers in the encoder and decoder; one that is based on the base layer and one that is based on the base plus enhancement layers. Drift control is achieved by switching between these two buffers for motion estimation and compensation. Our prediction is initially based on the base plus enhancement layers buffer, which inherently introduces drift in the system if a part of the enhancement layer is not available at the receiver. A measure of drift is computed based on the channel information and a threshold is set. When the measure exceeds the threshold, i.e., when drift becomes significant, we switch the prediction to be based on the base layer buffer, which is always available to the receiver. We also developed an adaptive scheme with additional computation overhead at the encoder to decide the switching instance. The performance of the threshold case that needs fewer computations is comparable with the adaptive scheme. Our coder offers high compression efficiency and sustained video quality for variable bit rate wireless channels. This proves that we need not completely eliminate drift and decrease compression efficiency to get better received video quality. (C) 2007 Elsevier B.V. All rights reserved.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDOI 10.1016/j.image.2007.01.003-
heal.journalNameSignal Processing-Image Communicationen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2007-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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