Making Video Processing Greener

#"Making #Video #Processing #Greener" #given #by #Dr. #Ricardo #L. #de #Queiroz #Universidade #Brasilia #IEEE #SPS #Distinguished #Lecturer
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Computers and information technology are proving themselves as energy-hungry partners in a society with carbon emission issues to be resolved. Video coding is a very computation-intensive, energy-demanding task. We approach green computing applied to video by setting task parameters in order to minimize energy consumption for a given performance. We use training and real energy measurements. We applied the concept to H.264/AVC video coding, showing that one can substantially reduce energy consumption at the expense of a small rate-distortion (RD) performance penalty. In essence, we do the same task, using exactly the same resources (hw + sw), but with substantial energy savings. We used a state-of-the-art implementation, x264, for tests and show RD results for comparisons and discussions.

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  • Fairleigh Dickinson University
  • Teaneck, New Jersey
  • United States 07666
  • Building: Auditorium M105, Muscarelle Center
  • Click here for Map

  • Contact Event Host
  • Alfredo Tan, tan@fdu.edu ; Hong Zhao, zhao@fdu.edu
  • Co-sponsored by School of Computer Sciences and Engineering, FDU
  • Starts 17 October 2012 04:00 PM UTC
  • Ends 20 November 2012 04:00 PM UTC
  • No Admission Charge






Agenda

Dr. Ricardo L. de Queiroz received his Ph.D. degree from The University of Texas at Arlington in 1994. He joined the research staff at Xerox Corp. from 1994 to 2002. Since 2004 he is with Universidade de Brasilia, where he is now a Full Professor at the Computer Science Department. Dr. de Queiroz has published over 150 articles in Journals and conferences and contributed chapters to books as well. He also holds 46 issued patents. He is an elected member of the IEEE Signal Processing Society's Multimedia Signal Processing (MMSP) Technical Committee and a former member of other committees and editorial boards. He has been appointed an IEEE Signal Processing Society Distinguished Lecturer for the 2011-2012 term. He also organized many conferences and IEEE chapters. His research interests include image and video compression, multirate signal processing, and color imaging.