BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UC Irvine Donald Bren School of Information &amp; Computer Sciences - ECPv6.3.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:UC Irvine Donald Bren School of Information &amp; Computer Sciences
X-ORIGINAL-URL:https://ics.uci.edu
X-WR-CALDESC:Events for UC Irvine Donald Bren School of Information &amp; Computer Sciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231201T110000
DTEND;TZID=America/Los_Angeles:20231201T120000
DTSTAMP:20260307T160214
CREATED:20231129T174842Z
LAST-MODIFIED:20231129T174842Z
UID:19826-1701428400-1701432000@ics.uci.edu
SUMMARY:Rethinking Internet Video Delivery in the Era of AI
DESCRIPTION:Internet video has experienced tremendous growth\, with video traffic continuing to surge at a rapid pace. The continuous improvements in codecs and adaptive streaming algorithms have supported this trend. \nIn this talk\, I will discuss how advances in deep learning unlock new opportunities that can significantly transform video delivery. To demonstrate this\, I will present a series of works that integrate neural networks\, thus bringing substantial quality enhancements to video in conjunction with current adaptive streaming techniques. \nI will start by presenting NAS\, the first video delivery system that incorporates neural-network based super-resolution and deep reinforcement learning to optimize user Quality of Experience (QoE). Subsequently\, I will talk about LiveNAS and NeuroScaler\, which apply neural super-resolution to live video streams\, enhancing video quality. In addition\, I will introduce NEMO\, which enables real-time neural super-resolution on mobile devices. To conclude\, I will share insights into future designs that tightly integrate deep learning with 2D and 3D video streaming. Additional details about the projects mentioned in this talk can be found at this website. \nBio: Dongsu Han is a professor at the School of Electrical Engineering at KAIST. He received his Ph.D. in Computer Science at Carnegie Mellon University in 2012. He has actively worked in the area of systems and networking\, focusing on problems that arise from the fact that modern Internet applications often run on the cloud at scale. His current research focuses on AI-enhanced video delivery and AI systems. In the past\, he was worked on user-level network stack\, low-latency congestion control\, and security and privacy of network applications. His impactful contributions have been featured in prestigious conferences such as SIGCOMM\, OSDI\, NSDI\, CCS\, Mobisys\, and EuroSys. Notable recognitions of his work include USENIX NSDI Best Paper Award and USENIX NSDI Community Award. He is currently serving as an associate editor for IEEE/ACM Transactions on Networking and has served as a program co-chair for CoNEXT 2020.
URL:https://ics.uci.edu/event/rethinking-internet-video-delivery-in-the-era-of-ai/
LOCATION:Donald Bren Hall\, Irvine\, CA\, 92697\, United States
ATTACH;FMTTYPE=image/jpeg:https://ics.uci.edu/wp-content/uploads/2023/11/han2019_sized-e1701280000544.jpeg
END:VEVENT
END:VCALENDAR