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.
The original version of this chapter was inadvertently published with an incorrect chapter pagination 1093–1098 and DOI 10.1007/978-3-319-32703-7_215. The page range and the DOI has been re-assigned. The correct page range is 1099–1104 and the DOI is 10.1007/978-3-319-32703-7_216. The erratum to this chapter is available at DOI: 10.1007/978-3-319-32703-7_260
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-32703-7_260
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Antoniou, Z.C., Panayides, A.S., Pantziaris, M., Constantinides, A.G., Pattichis, C.S., Pattichis, M.S. (2016). Dynamic Network Adaptation for Real-Time Medical Video Communication. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_216
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DOI: https://doi.org/10.1007/978-3-319-32703-7_216
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