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SUMMARY:Examples of Visual Computing Research at Disney Research Zurich
DTSTART:20131218T161500
DTSTAMP:20260415T024353Z
UID:0472eb3be72f254ccf83d1c9f6bd1c664b5170d86a9d4aed331a2572
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Aljosa Smolic\, Disney Research Zurich\nBio: Dr Aljoša Sm
 olić joined Disney Research Zurich\, Switzerland in 2009\, as Senior Rese
 arch Scientist and Head of the “Advanced Video Technology” group. Befo
 re he was Scientific Project Manager at the Fraunhofer Institute for Telec
 ommunications\, Heinrich-Hertz-Institut (HHI)\, Berlin\, also heading a re
 search group. He has been involved in several national and international r
 esearch projects\, where he conducted research in various fields of video 
 processing and visual computing\, and published more than 100 referred pap
 ers in these fields. He received the Dipl.-Ing. Degree in Electrical Engin
 eering from the Technical University of Berlin\, Germany in 1996\, and the
  Dr.-Ing. Degree in Electrical Engineering and Information Technology from
  Aachen University of Technology (RWTH)\, Germany\, in 2001. Dr. Smolic re
 ceived the “Rudolf-Urtlel-Award” of the German Society for Technology 
 in TV and Cinema (FKTG) for his dissertation in 2002. He is Area Editor fo
 r Signal Processing: Image Communication and served as Guest Editor for th
 e Proceedings of the IEEE\, IEEE Transactions on CSVT\, IEEE Signal Proces
 sing Magazine\, and other scientific journals. He chaired the MPEG ad hoc 
 group on 3DAV pioneering standards for 3D video. In this context he also s
 erved as one of the Editors of the Multi-view Video Coding (MVC) standard.
  Since many years he is teaching full lecture courses on Multimedia Commun
 ications and other topics\, now at ETH Zurich.\nDisney Research Zurich is 
 a reseach lab of The Walt Disney Company closely associated with the Compu
 ter Graphics Lab of ETH Zurich. It performs applied research on highest sc
 ientific level. Visual computing is one of the key research areas in this 
 context\, which will be highlighted in this talk by example projects from 
 the past 5 years. Stereoscopic 3D and beyond was traditionally a strong fo
 cus from capture to display\, including projects on computational stereo c
 amera systems\, disparity mapping\, 2D-to-3D conversion\, image domain war
 ping\, warp coding\, and stereo-to-multiview conversion. Then approaches f
 or video volume processing for optical flow\, disparity estimation\, video
  colorization\, or in general\, spatio-temporal data diffusion in video wi
 ll be presented. And extension of these concepts will be spatio-temporal v
 ideo compositing on video volumes. Finally\, an approach for automated ima
 ge aesthetics will close the talk.
LOCATION:CM1100 http://plan.epfl.ch/?lang=en&room=CM1100
STATUS:CONFIRMED
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