(Institute of Electrical and Electronics Engineers (IEEE), 2018) N/A; N/A; Department of Electrical and Electronics Engineering; Department of Electrical and Electronics Engineering; Kırmızıoğlu, Rıza Arda; Kaya, Barış Can; Tekalp, Ahmet Murat; Master Student; Undergraduate Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; College of Engineering; N/A; N/A; 26207
We propose architectures and implementations for WebRTC videoconferencing services using scalable VP9 video coding with motion-adaptive rate control as either a best-effort over-the-top service or as a managed value-added service with rate reservation over software-defined networks. In the best-effort service, clients perform motion-adaptive layer selection according to the available bandwidth in order to achieve the best overall visual video quality. In the value-added managed service, the service manager reserves bandwidth between mesh-connected clients according to rates agreed by them, and clients perform motion-adaptive layer selection to adapt their send rates to the bandwidths reserved between the end points. The proposed framework has been demonstrated to yield excellent results for both point-to-point two-party and mesh-connected multi-party videoconferencing.
