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PRODID:IEEE vTools.Events//EN
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DTSTART:20230312T030000
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DTSTART:20231105T010000
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BEGIN:VEVENT
DTSTAMP:20230422T001128Z
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DTSTART;TZID=US/Pacific:20230418T180000
DTEND;TZID=US/Pacific:20230418T202700
DESCRIPTION:Free Registration: https://www.eventbrite.com/e/world-wide-came
 ra-networks-tickets-572084107967\n\nSynopsis:\n\nMore than 80% consumer In
 ternet traffic is for videos and most of them are recorded videos. Meanwhi
 le\, many organizations (such as national parks\, vacation resorts\, depar
 tments of transportation) provide real-time visual data (images or videos)
 . These videos allow Internet users to observe events remotely. This speec
 h explains how to discover real-time visual data on the Internet. The disc
 overy process uses a crawler to reach many web pages. The information on t
 hese web pages are analyzed to identify candidates of real-time data. The 
 data is downloaded multiple times over an extended time period\; changes a
 re detected to determine whether it is likely to provide real-time data. T
 he data can be used during an emergency. For example\, viewers may check w
 hether a street is flooded and cannot pass. It is also possible using the 
 data to observe long-term trends\, such as how people react to movement re
 strictions during the COVID pandemic.\n\nSpeaker(s): Dr Lu\, Vishnu S. Pen
 dyala\n\nVirtual: https://events.vtools.ieee.org/m/351158
LOCATION:Virtual: https://events.vtools.ieee.org/m/351158
ORGANIZER:pendyala@ieee.org
SEQUENCE:2
SUMMARY:World-Wide Camera Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/351158
X-ALT-DESC:Description: <br /><p>Free Registration: https://www.eventbrite.
 com/e/world-wide-camera-networks-tickets-572084107967</p>\n<p><em><strong>
 Synopsis:</strong></em></p>\n<p>More than 80% consumer Internet traffic is
  for videos and most of them are recorded videos. Meanwhile\, many organiz
 ations (such as national parks\, vacation resorts\, departments of transpo
 rtation) provide real-time visual data (images or videos). These videos al
 low Internet users to observe events remotely. This speech explains how to
  discover real-time visual data on the Internet. The discovery process use
 s a crawler to reach many web pages. The information on these web pages ar
 e analyzed to identify candidates of real-time data. The data is downloade
 d multiple times over an extended time period\; changes are detected to de
 termine whether it is likely to provide real-time data. The data can be us
 ed during&nbsp\;an&nbsp\;emergency. For example\, viewers may check whethe
 r a street is flooded and cannot pass. It is also possible using the data 
 to observe long-term trends\, such as how people react to movement restric
 tions during the COVID pandemic.</p>
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