IEEE SPS Distinguished Industry Speaker Talk Sponsored by IEEE Signal Processing Society Santa Clara Valley Chapter and Oakland-East Bay Chapter   Title: Engaging Video Analytics and Generative AI Speaker: Dr. Jianquan Liu (Senior Director, NEC Laboratories Asia Pacific, Singapore; IPSJ Fellow & IEEE SPS DIS) Date & Time: 5:30-7:30pm, July 29 (Wed), 2026 Place: SCDI 1302 lecture room, Santa Clara University   Abstract: In this talk, Dr. Jianquan Liu presents an industry perspective on the convergence of video analytics and generative AI. The talk begins with an overview of video analytics, covering advancements in action recognition, object tracking, human-object interactions, scene recognition, and behavioral pattern analysis. These technologies enable efficient extraction, retrieval, visualization, and summarization of video content. The presentation then explores the impact of generative AI, particularly large language models (LLMs), on video understanding. It discusses how LLMs enhance object recognition, semantic segmentation, action recognition, captioning, visual question answering, and storytelling. Dr. Liu provides industry case studies to illustrate these applications while also addressing limitations and challenges. The talk introduces NEC's narrative summarization framework, designed to tackle key challenges in video analytics. It concludes with a demonstration of "Video with LLM" technology, showcasing its practical application in automating traffic accident investigation reports. This presentation offers valuable insights into the current state and future potential of AI-driven video intelligence, bridging the gap between technical innovation and practical application for both industry professionals and general audiences. Biosketch: Jianquan Liu (FIPSJ’25) is currently a Senior Director of NEC Laboratories Asia Pacific (NLAP) and Senior Principal Researcher at NEC Corporation, working on the topics of multimedia data processing. He is selected as IEEE SPS 2026 Distinguished Industry Speaker, also a Visiting Professor at Nagoya University and an Adjunct Professor at Hosei University, Japan. Prior to NEC, he was a development engineer in Tencent Inc. from 2005 to 2006, and was a visiting researcher at the Chinese University of Hong Kong in 2010. He has published 80+ papers at major international/domestic conferences and journals and filed 100+ PCT patents. He also successfully transformed these technological contributions into commercial products in the industry. For his industry contributions, Dr. Liu has received the Japan Minister of Economy, Trade and Industry (METI) Award at 38th Advanced Technology Award in 2025, the 25th Anniversary Special Award at CEATEC AWARD 2024, the APSIPA 2024 Industrial Distinguished Leader, the 2024 DBSJ Young Researcher’s Achievement and Contribution Award, the 2023 IEICE Achievement Award, the 2023 Niwa & Takayanagi Achievement Award from the Institute of Image Information and Television Engineers (ITE), the 69th Electrical Science and Engineering Promotion Award, and the Minister of Education, Culture, Sports, Science and Technology (MEXT) Award in 2021, the 2021 KANTO Invention and Innovation Award from Japan Institute of Invention and Innovation (JIII), the 2020 IPSJ Research and Engineering Award and the 2018 IPSJ Industrial Achievement Award from the Information Processing Society of Japan (IPSJ). Currently, Dr. Liu is/was serving as a Member-at-Large of IEEE SPS Industry Board (2025-2026); the Industry Co-chair of IEEE ICIP 2023, 2025 and ACM MM 2023, 2024, 2025; the General Co-chair of IEEE MIPR 2021, 2026, BESC 2026; the PC Co-chair of IEEE IRI 2022, ICME 2020, AIVR 2019, BigMM 2019, ISM 2018, ICSC 2018, ISM 2017, ICSC 2017, IRC 2017, and BigMM 2016, etc. He is a Fellow of IPSJ, a senior member of IEEE, ACM, and IEICE, and a member of ITE, APSIPA and DBSJ, a member of expert committee for IEICE Mathematical Systems Science and its Applications (2017-), and IEICE Data Engineering (2015-2021), and an associate editor of IEEE TMM (2021-2024), ACM TOMM (2022-), EURASIP JIVP (2023-), IEEE MultiMedia Magazine (2019-2022), ITE Transaction on Media Technology and Applications (2021-), APSIPA Trans. on SIP (2022-), and the Journal of Information Processing (2017-2021). Dr. Liu received the M.E. and Ph.D. degrees from the University of Tsukuba, Japan.   Agenda: 5:30 PM – 6:00 PM: Networking 6:00 PM – 7:30 PM: Presentation, Q&A

The IEEE Signal Processing Society Industry Board and Santa Clara Valley Chapter are pleased to announce an upcoming event on Video Coding Standards in the Age of AI which will be held on July 30, 2026 in Palo Alto, CA. As AI continues to evolve, it is playing an increasingly important role in next-generation signal processing and multimedia technologies. At the same time, major international and open-source standardization organizations are actively exploring how AI can be integrated into future standards. This event will bring together experts from industry and the standards community to discuss the latest advances in AI for video coding, current standardization efforts, and future research directions. Speakers This event features distinguished speakers from industry and standardization community: Arianne Hinds (INCITS L3 Chair) Debargha Mukherjee (Google, Principal Engineer / Director) Alican Nalci (Meta, Research Scientist) Leo Zhao (Tencent, Principal Research Scientist) Agenda The evening event will feature invited talks and an interactive panel discussion on the intersection of AI and video coding, covering the latest research advances, standardization efforts, and future trends. 6:00 PM – 6:30 PM: Networking 6:30 PM – 8:30 PM: Invited Talks 8:30 PM – 9:00 PM: Panel Discussion Whether you are a researcher, engineer, student, or practitioner interested in AI and video compression, we warmly welcome you to join us for an evening of technical discussions and networking with leaders from academia and industry. Arianne Hinds is the Chair of INCITS L3 and has played a leading role in video coding standardization and industry collaboration. Debargha Mukherjee is a Principal Engineer/Director at Google leading next-generation video codec research and development. He has made extensive contributions to image and video compression and was elevated to IEEE Fellow for leadership in developing video coding standards for the video streaming industry. Alican Nalci is a Research Scientist and Tech Lead at Meta, focusing on video compression, media delivery, and AI-based media technologies. His research interests include AI-based image and video coding, codec design and implementation, large-scale video deployment, and immersive 3D scene compression. Leo Zhao is a Principal Research Scientist and Tech Lead at Tencent Media Lab. He serves as Chair of the Software Implementation Working Group and as a Software Coordinator within the AOMedia Codec Working Group, where he leads the development of next-generation open video coding technologies.