May 2022 - Ececourtesy-list

REMINDER: Elmore EFC: Crossroads of Quantum and AI Day at Quantum Summer School
by Hodges, Kendra Renee 11 May '22

11 May '22

Dear Purdue Researchers, Please be reminded that the Quantum Science Center's Quantum Summer School will conclude tomorrow (5/12) with an excellent set of talks and a panel discussion on topics of interest to the Elmore ECE Emerging Frontiers Center: Crossroads of Quantum and AI. A full agenda is attached for your reference. You are all invited to join the onsite portions in the Class of 1950 Lecture Hall or join virtually at the live stream here<https://www.youtube.com/quantumcoffeehouse>. You do not need to have registered in advance to join the lectures in person, and we hope to see many of you there in person as we hear fascinating talks on a wide range of topics of interest to many Purdue ECE researchers! Regards, Thomas Roth ------ Thomas Roth Assistant Professor Elmore Family School of Electrical and Computer Engineering Purdue University

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Quantum Summer School: Going on Now!
by Hodges, Kendra Renee 09 May '22

09 May '22

Dear Purdue Researchers, The Quantum Science Center's second annual Quantum Summer School is currently running from 5/8 - 5/12. This is an exciting event with lectures from world-leading experts, interactive panel discussions, hands-on training sessions from QSC-affiliated companies, student poster sessions, and more! The final day of the school will be in conjunction with Purdue's Elmore ECE Emerging Frontiers Center: Crossroads of Quantum and AI, and will focus on topics of interest to this center. The school is focused on providing a rewarding experience for students and postdocs in our efforts to grow the quantum workforce. You are all invited to join the onsite portions in the Class of 1950 Lecture Hall or join virtually at the live stream here<https://www.youtube.com/quantumcoffeehouse>. You do not need to have registered in advance to join the lectures in person; however, food is restricted to pre-registered attendees. The agenda is attached with more details. We hope to see many of you in attendance! Regards, Thomas Roth

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Virtual Seminar, May 12, 2022, 10 am, Dr. Zoe Liu, "AV1 for Video Communications with Intelligent Optimization"
by Hamelman, Camille F 04 May '22

04 May '22

[cid:image003.png@01D85FA6.99A7CAF0]AV1 for Video Communications with Intelligent Optimization Dr. Zoe Liu Co-Founder, CTO and President of Visionular, Inc. May 12, 2022, 10:00am-11:00am Eastern Time * Purdue Graduate Student Center * Zoom: https://purdue-edu.zoom.us/j/93213430846<https://www.google.com/url?q=https%3A//purdue-edu.zoom.us/j/93213430846&sa=…> Meeting ID: 932 1343 0846 Abstract In this talk, we will mainly focus on the optimization of AV1, the newly finalized open source, royalty free video codec standard. We will present the AV1 software encoding capability for its deployment in various use cases, including VOD, Live Streaming, and Real-Time Communications (RTC), taking our Aurora1 AV1 encoder as an instantiation. First, we will have an overview of this new codec standard, and illustrate its differentiation from its predecessors, e.g. H264/AVC, H265/HEVC, and VP9. In particular, we will highlight the Screen Content Coding (SCC) and Film Grain Synthesis (FGS) coding tools that are unique to AV1. We will describe the essential approaches for such coding tools as well as elaborate their essential contribution and influence to the industry and the end users. Secondly, we will further present the superior performance of Aurora1 AV1 in various use cases, from VOD, to Live, to RTC, with different requests in terms of encoding speed, latenty, as well as underlying computational resources. We will highlight the essential influence AV1 has brought to the industry, in terms of its nature in open source, royalty free, as well as its wide support by browsers and WebRTC, the most widely acknowledged RTC open source platform. Thirdly, we will in particular focus on the use of machine learning and content-adaptive encoding approaches to the encoding optimization for AV1. We will mention the joint use of machine learning through the use of neural networks together with traditional image processing algorithms to optimize an encoder to produce the minimum bits but indeed capable of producing even better visual quality. Lastly, we will also touch base with several relevant topics, all essential to the final deployment of AV1 to the real applications. We will describe the decoder complexity awareness for the encoder optimization, the topic of Blind Video Quality Assessment (B-VQA), as well as the per-title encoding approach facilitated by machine learning. As a bonus, as an entrepreneur who started to devote myself to the startup of Visionular at a late career stage, after years of only being a software engineer, I would love to share my entrepreneurship experiences with those who are interested. Bio Zoe Liu is the Co-Founder of Visionular, a tech startup with its HQ based in the Silicon Valley of California and close to 60 team members globally distributed across the continents of North America, Asia, and Europe. Visionular provides both on premise and cloud based video encoding, processing, and streaming solutions and services, and has served more than 60+ commercial enterprise customers worldwide. Zoe graduated from Purdue in August, 2004 with her Ph.D. earned from the VIPER lab under the supervision of Prof Edward Delp. Her Ph.D. thesis was titled "Layered Scalable And Low Complexity Video Encoding: New Approaches And Theoretic Analysis". Zoe was previously a software engineer with the Google WebM team and has been a key contributor to the newly finalized royalty free video codec standard AOM/AV1. She has devoted to the video codec and real-time communications (RTC) technologies for 20+ years, and contributed to several world class RTC products including Apple FaceTime and Google Glass Video Call. She was a 2018 Google I/O speaker. She has published 50 peer-reviewed international conference and journal papers, including an invited paper co- authored with Prof Maggie Zhu with Purdue ECE, published in the prestigious IEEE journal - The Proceedings of the IEEE to address state-of-the-art technologies in AI+Video Codec. Hosts Professor Maggie Zhu, zhuO(a)purdue.edu, <mailto:zhu@purdue.edu> 765-496-0407 and Professor Edward Delp, ace(a)purdue.edu,<mailto:ace@purdue.edu> 765-494-1740. Communications, Networking, Signal & Image Processing

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