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DTSTAMP:20260713T212953Z
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DTSTART;TZID=America/Los_Angeles:20260729T173000
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DESCRIPTION:In this talk\, Dr. Jianquan Liu presents an industry perspectiv
 e on the convergence of video analytics and generative AI. The talk begins
  with an overview of video analytics\, covering advancements in action rec
 ognition\, object tracking\, human-object interactions\, scene recognition
 \, and behavioral pattern analysis. These technologies enable efficient ex
 traction\, 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 L
 LMs enhance object recognition\, semantic segmentation\, action recognitio
 n\, captioning\, visual question answering\, and storytelling. Dr. Liu pro
 vides industry case studies to illustrate these applications while also ad
 dressing limitations and challenges. The talk introduces NEC's narrative s
 ummarization framework\, designed to tackle key challenges in video analyt
 ics. It concludes with a demonstration of "Video with LLM" technology\, sh
 owcasing its practical application in automating traffic accident investig
 ation 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 indus
 try professionals and general audiences.\n\nCo-sponsored by: Oakland-East 
 Bay Section Chapter\n\nSpeaker(s): Jianquan Liu \, \n\nAgenda: \n- 5:30 PM
  – 6:00 PM: Networking\n- 6:00 PM – 7:30 PM: Presentation\, Q&A\n\nSob
 rato Campus for Discovery and Innovation (SCDI) Room 1302\, 500 El Camino 
 Real\, Santa Clara\, California\, United States\, 95053
LOCATION:Sobrato Campus for Discovery and Innovation (SCDI) Room 1302\, 500
  El Camino Real\, Santa Clara\, California\, United States\, 95053
ORGANIZER:vickyhlu@ieee.org
SEQUENCE:46
SUMMARY:Engaging Video Analytics and Generative AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/566042
X-ALT-DESC:Description: <br /><p class="MsoNormal"><span lang="EN">In this 
 talk\, Dr. Jianquan Liu presents an industry perspective on the convergenc
 e of video analytics and generative AI. The talk begins with an overview o
 f video analytics\, covering advancements in action recognition\, object t
 racking\, human-object interactions\, scene recognition\, and behavioral p
 attern analysis. These technologies enable efficient extraction\, retrieva
 l\, visualization\, and summarization of video content. The presentation t
 hen explores the impact of generative AI\, particularly large language mod
 els (LLMs)\, on video understanding. It discusses how LLMs enhance object 
 recognition\, semantic segmentation\, action recognition\, captioning\, vi
 sual question answering\, and storytelling. Dr. Liu provides industry case
  studies to illustrate these applications while also addressing limitation
 s and challenges. The talk introduces NEC's narrative summarization framew
 ork\, designed to tackle key challenges in video analytics. It concludes w
 ith a demonstration of "Video with LLM" technology\, showcasing its practi
 cal application in automating traffic accident investigation reports. This
  presentation offers valuable insights into the current state and future p
 otential of AI-driven video intelligence\, bridging the gap between techni
 cal innovation and practical application for both industry professionals a
 nd general audiences.</span></p>\n<p class="MsoNormal"><span lang="EN">&nb
 sp\;</span></p><br /><br />Agenda: <br /><ul type="disc">\n<li class="MsoN
 ormal"><strong><span lang="EN">5:30 PM &ndash\; 6:00 PM:</span></strong><s
 pan lang="EN"> Networking</span></li>\n<li class="MsoNormal"><strong><span
  lang="EN">6:00 PM &ndash\; 7:30 PM:</span></strong><span lang="EN"> Prese
 ntation\, Q&amp\;A</span></li>\n</ul>
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