Talk: Bitrate Adaptation for HTTP Adaptive Video Streaming
Prof. Rachid El Azouzi
University of Avignon, France
Abstract: The main task of HTTP Adaptive Streaming is to adapt video quality dynamically under variable network conditions. This is a key feature for multimedia delivery especially when quality of service cannot be granted network-wide and, e.g., throughput may suffer short term fluctuations. Hence, robust bitrate adaptation schemes become crucial in order to improve video quality. The objective, in this context, is to control the filling level of the playback buffer and maximize the quality of the video, while avoiding unnecessary video quality variations. In this talk, I will present some bitrate adaptation algorithms to greatly improve video quality. We design bitrate adaptation algorithms that balance video rate smoothness and high network capacity utilization, leveraging both on throughput-based and buffer-based adaptation mechanisms. Extensive simulations using synthetic and real-world video traffic traces show that the proposed schemes perform remarkably well even under challenging network conditions.
Biography: I am professor in networking at the Laboratoire Informatique d'Avignon (LIA) at the University of Avignon, France. I received the Ph.D. degree in Applied Mathematics from the Mohammed V University, Rabat, Morocco (2000). I joined INRIA (National Research Institute in Informatics and Control) Sophia Antipolis for post-doctoral and Research Engineer positions. Since 2003, I have been a researcher at the University of Avignon, France. I received the best paper award in the Networking 2006, in Mobile Ad-hoc and Sensor Networks (MSN 2007) and Globcom 2007 conferences. I have co-authored over 43 journal articles and book chapters, and over 92 conference publications. I eventually received the HDR degree from the Université of Avignon, France, in 2011. My research interests are, Networking Games, Biologically Inspired Networks, Networking games, Design of communication protocols for wireless networks, Wireless MAC protocols design and evaluation, Intelligent wireless networks and learning algorithms, MANET networks and Delay Tolerant Networking and Mean Field.