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PRODID:IEEE vTools.Events//EN
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BEGIN:DAYLIGHT
DTSTART:20190310T030000
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DTSTART:20191103T010000
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DTSTAMP:20190311T220308Z
UID:65252E82-6D72-45FE-90E9-FEC37E8CFEE2
DTSTART;TZID=Canada/Pacific:20190311T181500
DTEND;TZID=Canada/Pacific:20190311T200000
DESCRIPTION:Today&#39;s concept of Smart Cities is that the thousands of camera
 s and sensors installed in streets and public places will make cities safe
 r and more efficient. However\, the matter of dealing intelligently with t
 he voluminous data is often ignored. I will discuss how our video analytic
 s work attempts to balance edge-cloud issues and learning methods (unsuper
 vised\, active\, deep) to facilitate effective decisions and predictions f
 or large-scale public spaces.\n\nSafety and efficiency alone do not make g
 reat cities. I will also discuss art that makes use of public space camera
 s. Fifty years after Bell Labs&#39; Experiments in Art and Technologies (E.A.T
 .) in New York City\, this engineer-artist collaboration has been resurrec
 ted. I have worked with several artists and game-makers over the past few 
 years to enable their concepts via our video analytics. I will discuss Bro
 oklyn Blooms\, Butterflies Alight\, and a Liberty Science Center installat
 ion\, and may even challenge the audience to a game.\n\nSpeaker(s): Dr. La
 rry O&#39;Gorman\, \n\nAgenda: \npizza @ 6:15 PM\n\ntalk @ 6:30 PM\n\nRoom: 66
 0\, Bldg: ECS - Engineering Computer Science\, University of Victoria\, 38
 00 Finnerty Road\, Victoria\, British Columbia\, Canada\, V8P 5C2
LOCATION:Room: 660\, Bldg: ECS - Engineering Computer Science\, University 
 of Victoria\, 3800 Finnerty Road\, Victoria\, British Columbia\, Canada\, 
 V8P 5C2
ORGANIZER:aalbu@uvic.ca
SEQUENCE:6
SUMMARY:Smart and Artistic Cities\, Through Video Analytics --- Including R
 e-Visiting Experiments in Art and Technology (E.A.T) 50 Years Later
URL;VALUE=URI:https://events.vtools.ieee.org/m/193481
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Today&#39;s concept of Smart Cities is that th
 e thousands of cameras and sensors installed in streets and public places 
 will make cities safer and more efficient. However\, the matter of dealing
  intelligently with the voluminous data is often ignored. I will discuss h
 ow our video analytics work attempts to balance edge-cloud issues and lear
 ning methods (unsupervised\, active\, deep) to facilitate effective decisi
 ons and predictions for large-scale public spaces. &lt;br /&gt; &lt;br /&gt;Safety and
  efficiency alone do not make great cities. I will also discuss art that m
 akes use of public space cameras. Fifty years after Bell Labs&#39; Experiments
  in Art and Technologies (E.A.T.) in New York City\, this engineer-artist 
 collaboration has been resurrected. I have worked with several artists and
  game-makers over the past few years to enable their concepts via our vide
 o analytics. I will discuss Brooklyn Blooms\, Butterflies Alight\, and a L
 iberty Science Center installation\, and may even challenge the audience t
 o a game.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;pizza @ 6:15 PM&lt;/p&gt;\n&lt;p&gt;talk @ 6
 :30 PM&lt;/p&gt;
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