Dynamic network adaptation for real-time medical video communication
| Autor: | Antoniou, Zinonas C., Panayides, Andreas S., Pantzaris, Marios C., Constantinides, Anthony G., Pattichis, Constantinos S., Pattichis, Marios S. |
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| Přispěvatelé: | Kyriacou, Efthyvoulos C., Christofides, Stelios, Pattichis, Constantinos S., Pattichis, Constantinos S. [0000-0003-1271-8151], Pattichis, Marios S. [0000-0002-1574-1827], Kyriacou, Efthyvoulos C. [0000-0002-4589-519X], Pantzaris, Marios C. [0000-0003-2937-384X], Antoniou, Zinonas C. [0000-0002-5148-5197], Panayides, Andreas S. [0000-0001-9829-7946] |
| Rok vydání: | 2016 |
| Předmět: |
HEVC
Mobile Health (M-Health) Video communication systems Telemedicine Medical computing Multi-objective optimization Biochemical engineering Acceptable performance Mobile-health (mHealth) Encoding (symbols) Ultrasound video Real-time adaptation Diagnosis Device capabilities Image communication systems Time varying networks Video streaming Multiobjective optimization Experimental investigations Ultrasound videos |
| Zdroj: | IFMBE Proceedings 14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 |
| Popis: | 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. 57 1093 1098 Conference code: 172989 |
| Databáze: | OpenAIRE |
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