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dc.contributor.authorDawood, Muneeben
dc.contributor.authorHamzaoui, Raoufen
dc.contributor.authorAhmad, Shakeelen
dc.contributor.authorAl-Akaidi, Marwan, 1959-en
dc.date.accessioned2016-02-18T14:43:08Z
dc.date.available2016-02-18T14:43:08Z
dc.date.issued2016-02
dc.identifier.citationDawood, M., Hamzaoui, R., Ahmad, S. and Al-Akaidi, M. (2016) Error-resilient packet-switched mobile video telephony with channel-adaptive rateless coding and early reference picture selection. Signal, Image and Video Processing, 10 (6), pp. 1119-1126en
dc.identifier.issn1863-1711
dc.identifier.issn1863-1703
dc.identifier.urihttp://hdl.handle.net/2086/11533
dc.identifier.urihttps://rdcu.be/6wAc
dc.identifier.uri
dc.description.abstractProviding high-quality video for packet-switched wireless video telephony on handheld devices is a challenging task due to packet loss, varying bandwidth, and end-to-end delay constraints. While many error resilience techniques have been proposed for video transmission over wireless channels, only a few were specifically designed for mobile video telephony. We propose a low-complexity channel-adaptive error resilience technique for packet-switched mobile video telephony, which combines rateless coding, feedback, and reference picture selection. In contrast to previous approaches, our technique uses cumulative feedback at every transmission opportunity and predicts when decoding is likely to fail so that reference picture selection can be triggered at an early stage. Experimental results for H.264 video sequences show that the proposed technique can achieve improvements of 1.64 dB in peak signal-to-noise ratio over benchmark techniques in simulated Long-Term Evolution networks.en
dc.language.isoen_USen
dc.publisherSpringeren
dc.subjectVideo streamingen
dc.subjectVideo telephonyen
dc.subjectError resilienceen
dc.subjectRateless codesen
dc.titleError-resilient packet-switched mobile video telephony with channel-adaptive rateless coding and early reference picture selectionen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1007/s11760-016-0867-8
dc.researchgroupCentre for Electronic and Communications Engineeringen
dc.peerreviewedYesen
dc.explorer.multimediaNoen
dc.funderNAen
dc.projectidNAen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.researchinstituteInstitute of Engineering Sciences (IES)en


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