BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260325T040125Z UID:BB3B5FFB-C636-409B-A248-6496E684B16F DTSTART;TZID=America/New_York:20260323T130000 DTEND;TZID=America/New_York:20260323T140000 DESCRIPTION:This webinar series introduces the principles of image and vide o coding\, with a particular focus on the historical progression and evolu tion of the technologies that shape modern practice. It traces the origins of foundational components\, including the DCT\, zigzag scanning\, dead-z one quantization\, predictive coding\, and contemporary entropy-coding sch emes\, and explains how these ideas converged into the hybrid motion-compe nsation and transform-based architecture used in today’s video standards .\n\nThe series also explores advanced tools that have emerged in the late st generations of codecs\, such as learned transforms and in-loop and out- of-loop filters developed using machine learning techniques. In addition\, it provides a comparative overview of the features and performance of lea ding modern standards\, including HEVC\, VVC\, AV1\, and AV2.\n\nThe mater ial is designed for a broad engineering audience and does not assume prior expertise in image or video coding.\n\nYuriy Reznik received the Ph.D. in computer science from the National University of Kyiv in 2005. In 2008\, he was a visiting scholar at Stanford University\, where he studied advanc ed topics in image and video processing.\n\nHe is the Founder and CTO of S treaming Labs\, Ltd.\, a research and technology consulting firm specializ ing in the design\, performance analysis\, and optimization of video encod ers and streaming media delivery systems. He previously served as Vice Pre sident of Research at Brightcove\, Inc. (2016–2025)\, Director of Engine ering at InterDigital\, Inc. (2011–2016)\, Staff Engineer at Qualcomm In c. (2005–2011)\, and Principal Engineer at RealNetworks\, Inc. (1998–2 005). Since 2025\, he has also been affiliated with MIT\, serving as a Res earch Scientist and teaching course 6.7010 Digital Image Processing.\n\nDr . Reznik’s career has been devoted to advancing video technologies and s tandards. He was the principal developer of RealVideo and a contributor to the H.264/AVC\, HEVC\, and VVC video coding standards. He also led the de velopment of the encoding engines behind Zencoder and Brightcove’s Conte xt-Aware Encoding products—technologies recognized with NATAS Technology & Engineering Emmy Awards.\n\nVirtual: https://events.vtools.ieee.org/m/5 44715 LOCATION:Virtual: https://events.vtools.ieee.org/m/544715 ORGANIZER:ambarish.natu@gmail.com SEQUENCE:8 SUMMARY:Introduction to Video Coding Part 1: History and Fundamental Concep ts URL;VALUE=URI:https://events.vtools.ieee.org/m/544715 X-ALT-DESC:Description: <br /><p>This webinar series introduces the princip les of image and video coding\, with a particular focus on the historical progression and evolution of the technologies that shape modern practice. It traces the origins of foundational components\, including the DCT\, zig zag scanning\, dead-zone quantization\, predictive coding\, and contempora ry entropy-coding schemes\, and explains how these ideas converged into th e hybrid motion-compensation and transform-based architecture used in toda y&rsquo\;s video standards.<br><br>The series also explores advanced tools that have emerged in the latest generations of codecs\, such as learned t ransforms and in-loop and out-of-loop filters developed using machine lear ning techniques. In addition\, it provides a comparative overview of the f eatures and performance of leading modern standards\, including HEVC\, VVC \, AV1\, and AV2.<br><br>The material is designed for a broad engineering audience and does not assume prior expertise in image or video coding.</p> \n<p><strong>Yuriy Reznik</strong>&nbsp\;received the Ph.D. in computer sc ience from the National University of Kyiv in 2005. In 2008\, he was a vis iting scholar at Stanford University\, where he studied advanced topics in image and video processing.<br><br>He is the Founder and CTO of Streaming Labs\, Ltd.\, a research and technology consulting firm specializing in t he design\, performance analysis\, and optimization of video encoders and streaming media delivery systems. He previously served as Vice President o f Research at Brightcove\, Inc. (2016&ndash\;2025)\, Director of Engineeri ng at InterDigital\, Inc. (2011&ndash\;2016)\, Staff Engineer at Qualcomm Inc. (2005&ndash\;2011)\, and Principal Engineer at RealNetworks\, Inc. (1 998&ndash\;2005). Since 2025\, he has also been affiliated with MIT\, serv ing as a Research Scientist and teaching course 6.7010 Digital Image Proce ssing.<br><br>Dr. Reznik&rsquo\;s career has been devoted to advancing vid eo technologies and standards. He was the principal developer of RealVideo and a contributor to the H.264/AVC\, HEVC\, and VVC video coding standard s. He also led the development of the encoding engines behind Zencoder and Brightcove&rsquo\;s Context-Aware Encoding products&mdash\;technologies r ecognized with NATAS Technology &amp\; Engineering Emmy Awards.</p> END:VEVENT END:VCALENDAR