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VERSION:2.0
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CALSCALE:GREGORIAN
X-WR-CALNAME:HAI Seminar with Michael Rau 
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261007T072902Z
UID:tag:localist.com\,2008:EventInstance_48582038670670
DTSTART:20250122T200000Z
DTEND:20250122T211500Z
DESCRIPTION:At this seminar\, hear how this research project employs machin
 e learning and computer vision to analyze directorial styles and other asp
 ects of theater performances\, focusing on pose and action recognition. By
  applying these technologies to video recordings of theatrical productions
 \, multiple performances by the same director are compared to identify dis
 tinctive patterns in choreography and staging. The approach combines both 
 distant and close viewing techniques\, enabling a more nuanced understandi
 ng of theatrical gestures and movements. Through this analysis\, the abstr
 act concept of directorial style is quantified.\n\nBridging the fields of 
 performing arts\, computer science\, and digital humanities\, this interdi
 sciplinary project offers new insights into theatrical analysis and enhanc
 es the understanding of directorial signatures in live performance.
GEO:37.429987;-122.17333
LOCATION:Gates Computer Science Building\, 119
SUMMARY:HAI Seminar with Michael Rau 
URL;VALUE=URI:https://events.stanford.edu/event/hai-seminar-with-michael-ra
 u
CATEGORIES:Class/Seminar
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