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dc.contributor.authorPanayides, Andreas S.en
dc.contributor.authorAntoniou, Zinonas C.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorConstantinides, Anthony G.en
dc.creatorPanayides, Andreas S.en
dc.creatorAntoniou, Zinonas C.en
dc.creatorPattichis, Marios S.en
dc.creatorPattichis, Constantinos S.en
dc.creatorConstantinides, Anthony G.en
dc.date.accessioned2019-11-13T10:41:38Z
dc.date.available2019-11-13T10:41:38Z
dc.date.issued2012
dc.identifier.issn1557-170X
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54688
dc.description.abstractEmerging high efficiency video compression methods and wider availability of wireless network infrastructure will significantly advance existing m-health applications. For medical video communications, the emerging video compression and network standards support low-delay and high-resolution video transmission, at the clinically acquired resolution and frame rates. Such advances are expected to further promote the adoption of m-health systems for remote diagnosis and emergency incidents in daily clinical practice. This paper compares the performance of the emerging high efficiency video coding (HEVC) standard to the current state-of-the-art H.264/AVC standard. The experimental evaluation, based on five atherosclerotic plaque ultrasound videos encoded at QCIF, CIF, and 4CIF resolutions demonstrates that 50% reductions in bitrate requirements is possible for equivalent clinical quality.en
dc.sourceConference proceedings : ...Annual International Conference of the IEEE Engineering in Medicine and Biology Society.IEEE Engineering in Medicine and Biology Society.Conferenceen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84880958530&partnerID=40&md5=f392eb16cb69fc18aa5a899a1c660b36
dc.subjectmethodologyen
dc.subjectarticleen
dc.subjectAlgorithmsen
dc.subjectalgorithmen
dc.subjectinformation processingen
dc.subjectechographyen
dc.subjectUltrasonographyen
dc.subjectsignal processingen
dc.subjectSignal Processing, Computer-Assisteden
dc.subjectVideo Recordingen
dc.subjectvideorecordingen
dc.subjecttelemedicineen
dc.subjectcomputer assisted diagnosisen
dc.subjectImage Interpretation, Computer-Assisteden
dc.subjectData Compressionen
dc.titleHigh efficiency video coding for ultrasound video communication in m-health systems.en
dc.typeinfo:eu-repo/semantics/article
dc.description.volume2012
dc.description.startingpage2170
dc.description.endingpage2173
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :8</p>en
dc.source.abbreviationConf Proc IEEE Eng Med Biol Socen
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.contributor.orcidAntoniou, Zinonas C. [0000-0002-5148-5197]
dc.contributor.orcidPanayides, Andreas S. [0000-0001-9829-7946]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827
dc.gnosis.orcid0000-0002-5148-5197
dc.gnosis.orcid0000-0001-9829-7946


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