Plenary Sessions
Plenary Speakers
Jill Boyce
Intel Fellow and Chief Media Architect
Title: Video Codec Standardization and Ecosystem Update
Schedule: View the Agenda
Abstract: “The nice thing about standards is that you have so many to choose from.” The old quote from Andrew Tanenbaum is very apt for the current situation in the video codec ecosystem. An update will be provided on the latest video coding standards and the progress on their deployment in products and services. Hardware and software implementations, and pain points for video codec deployment will be discussed. Upcoming standardization activities will be previewed, both for typical 2-D video and for immersive media.
Dr. Christian Timmerer
Head of research and standardization, Bitmovin Inc. Associate professor multimedia communication, Alpen-Adria University Klagenfurt.
Title: HTTP Adaptive Streaming – Quo Vadis?
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Abstract: Video traffic on the Internet is constantly growing; networked multimedia applications consume a predominant share of the available Internet bandwidth. A major technical breakthrough and enabler in multimedia systems research and of industrial networked multimedia services certainly was the HTTP Adaptive Streaming (HAS) technique. This resulted in the standardization of MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) which, together with HTTP Live Streaming (HLS), is widely used for multimedia delivery in today’s networks. Existing challenges in multimedia systems research deal with the trade-off between (i) the ever-increasing content complexity, (ii) various requirements with respect to time (most importantly, latency), and (iii) quality of experience (QoE). Optimizing towards one aspect usually negatively impacts at least one of the other two aspects if not both.
This situation sets the stage for our research work in the ATHENA Christian Doppler (CD) Laboratory (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services; https://athena.itec.aau.at/), jointly funded by public sources and industry.
In this talk, we will present selected novel approaches and research results of the first year of the ATHENA CD Lab’s operation. We will highlight HAS-related research on: (i) multimedia content provisioning (machine learning for video encoding); (ii) multimedia content delivery (support of edge processing and virtualized network functions for video networking); (iii) multimedia content consumption and end-to-end aspects (player-triggered segment retransmissions to improve video playout quality); and (iv) novel QoE investigations (adaptive point cloud streaming). We will also put the work into the context of the international multimedia systems research.
Shan Liu
Distinguished Scientist and General Manager, Tencent
Title: Learning Based Visual Data Compression – Technologies and Standards
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Abstract: Machine learning has demonstrated its superior capability of solving computer vision and image processing problems in the last decade. Witnessing such success, researchers and engineers are motivated to investigate learning based technologies for visual data, e.g., image and video compression, and some encouraging progress have been demonstrated in recent years. These research works may be classified into two categories: end-to-end learning-based compression schemes, and learning-based coding tools that are embedded into conventional compression schemes, such as block-based hybrid coding schemes. In this talk, recent technology advances in both of these categories will be introduced, together with updates from relevant standard development activities, such as in JPEG AI, JVET NNVC and IEEE FVC. Challenges that the current learning-based compression solutions are facing, as well as some related research directions and standards such as MPEG NNR and video coding for machine (VCM) will also be discussed.