Dynamic network adaptation for real-time medical video communication
Date
2016Author



Constantinides, Anthony G.


ISBN
978-3-319-32701-3Publisher
Springer VerlagSource
IFMBE Proceedings14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
Volume
57Pages
1093-1098Google Scholar check
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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.
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