“Energy efficient video processing – what do future video coding standards need to deliver?”
Abstract: With the proliferation of social media, the volume of videos uploaded and shared on the Web has been continuously growing – and along with it the amount of energy needed to process, store and distribute them globally. Video coding standards have offered significant improvements in video quality, or equivalently, big reduction in bitrates while maintaining the same visual quality. Traditionally, such improvements in video coding carried equally significant, and as of late even more disproportionate so, increases in compute/energy requirements to deliver these savings. We will look into the problem of energy efficient video processing holistically and propose a few ways to address the growing demand in video processing through system-level optimization and by elevating energy efficiency to become a first-class citizen in future video coding standards.
Dr. Ioannis Katsavounidis is part of the Video Infrastructure team, leading technical efforts in improving video quality and quality of experience across all video products at Meta (formerly known as Facebook). Before joining Meta, he spent 3.5 years at Netflix, contributing to the development and popularization of VMAF, Netflix’s open-source video quality metrics, as well as inventing the Dynamic Optimizer, a shot-based perceptual video quality optimization framework that brought significant bitrate savings across the whole streaming spectrum. VMAF and the dynamic optimizer awarded Netflix two technical Emmys in 2020. He was a professor for 8 years at the University of Thessaly’s Electrical and Computer Engineering Department in Greece, teaching video compression, signal processing and information theory. He was one of the cofounders of Cidana, a mobile multimedia software company in Shanghai, China. He was the director of software for advanced video codecs at InterVideo, the makers of WinDVD, the most popular SW DVD player, in the early 2000’s and he has also spent 4 years working in high-energy experimental Physics in Italy. He is one of the co-chairs for the statistical analysis methods (SAM) and no-reference metrics (NORM) groups at the Video Quality Experts Group (VQEG). He is actively involved within the Aliance for Open Media (AOM) as co-chair of the software implementation working group (SWIG). He has over 150 publications, including 50 patents. His research interests lie in video coding, quality of experience, adaptive streaming, and energy efficient HW/SW multimedia processing.