Interactive Art via Pattern Recognition and Machine Learning Technologies

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The IEEE Information Theory (IT) Chapter and IEEE METSAC invite you to attend the following Webex presentation on Tuesday, May 11 at 6:00 PM.


 

Interactive Art via Pattern Recognition and Machine Learning Technologies
Dr. Larry O'Gorman,
Nokia Bell Labs, Murray Hill, NJ

Abstract - In the last decade, the art and theater worlds have increasingly endeavored to create immersive experiences for their audiences. In many cases, this entails the use of cameras and other sensors, combined with recognition techniques so audience input can modify the artwork. Recent machine learning advancements have also increased artists’ enthusiasm for creating technology-enhanced artworks. In this talk we discuss interactive methodologies using patterns from video, audio, biometrics, and machine learning. We show a sampling of the interactive artworks starting with the Experiments in Art and Technology that involved New York artists such as Robert Rauschenberg and Merce Cunningham working with Bell Labs engineers in the 1960s, and up to present day.

 

 

This is a Webex-only event. Please register to provide the organizers with an approximate attendance count.

Webex information:

   https://ieeemeetings.webex.com/join/mmga-r1-metsac

For Webex-related questions, please contact Adriaan van Wijngaarden (avw@ieee.org).



  Date and Time

  Location

  Hosts

  Registration



  • Date: 11 May 2021
  • Time: 06:00 PM to 07:00 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
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  • Adriaan J. Van Wijngaarden, Nokia Bell Labs; avw@ieee.org

  • Co-sponsored by IEEE North Jersey IT Chapter, IEEE METSAC
  • Starts 15 April 2021 12:00 PM
  • Ends 11 May 2021 08:00 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • No Admission Charge


  Speakers

Dr. Larry O'Gorman of Nokia Bell Labs, Murray Hill, NJ

Topic:

Interactive Art via Pattern Recognition and Machine Learning Technologies

Abstract - In the last decade, the art and theater worlds have increasingly endeavored to create immersive experiences for their audiences. In many cases, this entails the use of cameras and other sensors, combined with recognition techniques so audience input can modify the artwork. Recent machine learning advancements have also increased artists’ enthusiasm for creating technology-enhanced artworks. In this talk we discuss interactive methodologies using patterns from video, audio, biometrics, and machine learning. We show a sampling of the interactive artworks starting with the Experiments in Art and Technology that involved New York artists such as Robert Rauschenberg and Merce Cunningham working with Bell Labs engineers in the 1960s, and up to present day.

Biography:

Lawrence O'Gorman is a Fellow at Bell Labs Research in Murray Hill, NJ, leading work in video analytics. Previously he was Chief Scientist at Veridicom, a biometric company. He has taught in the area of multimedia security at Cooper Union and New York University. He has published over 80 technical papers, 8 book chapters, holds over 35 patents, and is co-author of the books, "Practical Algorithms for Image Analysis" published by Cambridge University Press, and "Document Image Processing" published by IEEE Press. He is a Fellow of the IEEE and of the International Association for Pattern Recognition. He has been on the editorial boards of 4 journals, and has served on US government committees to NIST, NSF, NIJ, and NAE, and to France's INRIA. He received the B.A.Sc., M.S., and Ph.D. degrees in electrical engineering from the University of Ottawa, University of Washington, and Carnegie Mellon University respectively.

Dr. O’Gorman has collaborated on the creation of several interactive artworks including: Brooklyn Blooms with NYU at the World Science Festival, 2013; Pixelpalooza with NYU at the Liberty Science Center, 2014-17; Butterflies Alight! with Stevens Institute of Technology in Hoboken, NJ, 2015; and Omnia Per Omnia with Sougwen Chung at Mana Contemporary Gallery, 2018.

Address:Murray Hill, New Jersey, United States, 07974





Agenda

Tuesday, May 11, 2021

5:45 - 6:00 Webex Set-up/test

6:00 - 7:00 Webex Presentation 



All are welcome. You do not have to be an IEEE member to attend this Webex presentation.