dc.contributor.author | Antoniou, Zinonas C. | en |
dc.contributor.author | Panayides, Andreas S. | en |
dc.contributor.author | Pantzaris, Marios C. | en |
dc.contributor.author | Constantinides, Anthony G. | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.contributor.author | Pattichis, Marios S. | en |
dc.contributor.editor | Kyriacou, Efthyvoulos C. | en |
dc.contributor.editor | Christofides, Stelios | en |
dc.contributor.editor | Pattichis, Constantinos S. | en |
dc.creator | Antoniou, Zinonas C. | en |
dc.creator | Panayides, Andreas S. | en |
dc.creator | Pantzaris, Marios C. | en |
dc.creator | Constantinides, Anthony G. | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.creator | Pattichis, Marios S. | en |
dc.date.accessioned | 2019-11-13T10:38:17Z | |
dc.date.available | 2019-11-13T10:38:17Z | |
dc.date.issued | 2016 | |
dc.identifier.isbn | 978-3-319-32701-3 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53544 | |
dc.description.abstract | The wider adoption of mHealth video communication systems in standard clinical practice requires adequate levels of clinical video quality to support reliable diagnosis. The latter dictates that real-time adaptation to time-varying wireless networks’ state to guarantee clinically acceptable performance throughout the streaming session, while conforming to device capabilities for supporting real-time encoding. In this study we propose a multi-objective optimization framework that jointly maximizes the encoded video’s quality while minimizing bitrate demands and encoding time. Experimental investigation shows that the proposed framework can provide for efficient real-time adaptation at a Group of Pictures (GOP) level, demonstrating significant gains over static approaches. © Springer International Publishing Switzerland 2016. | en |
dc.publisher | Springer Verlag | en |
dc.source | IFMBE Proceedings | en |
dc.source | 14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968607769&doi=10.1007%2f978-3-319-32703-7_215&partnerID=40&md5=af73b6bde0b55c2b5e8b85dc9d027318 | |
dc.subject | Multiobjective optimization | en |
dc.subject | Diagnosis | en |
dc.subject | Encoding (symbols) | en |
dc.subject | Time varying networks | en |
dc.subject | Biochemical engineering | en |
dc.subject | Medical computing | en |
dc.subject | Experimental investigations | en |
dc.subject | Multi-objective optimization | en |
dc.subject | Acceptable performance | en |
dc.subject | Device capabilities | en |
dc.subject | HEVC | en |
dc.subject | Image communication systems | en |
dc.subject | Mobile Health (M-Health) | en |
dc.subject | Real-time adaptation | en |
dc.subject | Ultrasound videos | en |
dc.subject | Video communication systems | en |
dc.subject | Video streaming | en |
dc.subject | Mobile-health (mHealth) | en |
dc.subject | Telemedicine | en |
dc.subject | Ultrasound video | en |
dc.title | Dynamic network adaptation for real-time medical video communication | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1007/978-3-319-32703-7_215 | |
dc.description.volume | 57 | |
dc.description.startingpage | 1093 | |
dc.description.endingpage | 1098 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Conference code: 172989</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.contributor.orcid | Pattichis, Marios S. [0000-0002-1574-1827] | |
dc.contributor.orcid | Kyriacou, Efthyvoulos C. [0000-0002-4589-519X] | |
dc.contributor.orcid | Pantzaris, Marios C. [0000-0003-2937-384X] | |
dc.contributor.orcid | Antoniou, Zinonas C. [0000-0002-5148-5197] | |
dc.contributor.orcid | Panayides, Andreas S. [0000-0001-9829-7946] | |
dc.gnosis.orcid | 0000-0003-1271-8151 | |
dc.gnosis.orcid | 0000-0002-1574-1827 | |
dc.gnosis.orcid | 0000-0002-4589-519X | |
dc.gnosis.orcid | 0000-0003-2937-384X | |
dc.gnosis.orcid | 0000-0002-5148-5197 | |
dc.gnosis.orcid | 0000-0001-9829-7946 | |