Christian graduated with a Bachelor of Electrical Engineering and a Bachelor of Mathematics (both in 1999) and a PhD in Electrical Engineering (in 2003) all from the University of Wollongong (UOW), Australia. His PhD research focused on very low bit rate coding of wideband speech signals. Since 2003, Christian has held a position within the School of Electrical, Computer and Telecommunications Engineering at UOW where he is currently a Professor. Concurrently, he is also the Associate Dean (International) for UOW’s Faculty of Engineering and Information Sciences, with responsibility for managing the Faculty’s international strategy including significant transnational programs and partnerships in China, Hong Kong, Dubai, Singapore and Malaysia. Christian is the deputy director of the Centre for Signal and Information Processing (CSIP) and leads the audio, speech and acoustics signal processing research of the centre. He is actively involved in several projects, some funded from the Australian government and industry, including microphone array signal processing for the directional sound enhancement, acoustic scene classification, loudspeaker-based sound field reproduction and control and visual object classification using machine learning. He is currently a Distinguished Lecturer (2019 to 2020) of the Asia Pacific Signal and Information Processing Association (APSIPA). For more information see: https://scholars.uow.edu.au/display/christian_ritz.
Today, massive amounts of video are streamed to users by companies such as YouTube, Netflix, Tencent, Baidu (iQiyi) and Alibaba (Youku Tudou). It is essential that users receive high quality video, particular if they pay for the streaming service. This requires intelligent ways of adapting the delivery of video to meet bandwidth limitations of the network, which may change over time. Traditionally, the concept of Quality of Service (QoS) is used to characterize the quality of the network, taking into account factors such as throughput (bit rate), packet losses and other issues. More recently, QoE has been introduced that considers not only the QoS but more importantly the overall experience of a watching multimedia content such as online video. This keynote will focus on the technology behind today’s video streaming services. Part 1 will cover the fundamentals of video coding and introduce the latest scalable video coding solutions. Part 2 will describe the systems used to adapt the streaming of video content to varying networks conditions using video coding to maximise the QoE.
Keynote Lecture 1: Tuesday 1st December, 12:30 pm to 2:30 pm Wollongong time (which is 9:30 am to 11:30 am Wuhan time)
Zoom Meeting Details:
· Password: 182722
Keynote Lecture 2: Wednesday 2nd December, 12:30 pm to 2:30 pm Wollongong time (which is 9:30 am to 11:30 am Wuhan time).
Zoom Meeting Details:
· Password: 076555