MP-P.PZ1.2
          REGION-OF-INTEREST CODING SCHEMES FOR HTTP ADAPTIVE STREAMING WITH VVC
Robert Skupin, Yago Sánchez, Cornelius Hellge, Thomas Schierl, Fraunhofer Heinrich-Hertz-Institute, Germany; Moncef Gabbouj, Tampere University, Germany
              Session:
                Imaging and Media Applications
                
              Track:
                Imaging and Media Applications
              Location:
                Poster Zone 1
              Presentation Time:
                Mon, 17 Oct, 22:00 - 00:30 China Standard Time (UTC +8)
Mon, 17 Oct, 16:00 - 18:30 Central European Time (UTC +1)
Mon, 17 Oct, 14:00 - 16:30 UTC
Mon, 17 Oct, 10:00 - 12:30 Eastern Time (UTC -5)
              Mon, 17 Oct, 16:00 - 18:30 Central European Time (UTC +1)
Mon, 17 Oct, 14:00 - 16:30 UTC
Mon, 17 Oct, 10:00 - 12:30 Eastern Time (UTC -5)
Session Co-Chairs:
Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Presentation
                  Discussion
                    Resources
                No resources available.
            Session MP-P.PZ1
            MP-P.PZ1.1: Video-Analytics Task-Aware Quad-Tree Partitioning and Quantization for HEVC
  Praneet Singh, Edward Delp, Amy Reibman, Purdue University, United States of America
  MP-P.PZ1.2: REGION-OF-INTEREST CODING SCHEMES FOR HTTP ADAPTIVE STREAMING WITH VVC
  Robert Skupin, Yago Sánchez, Cornelius Hellge, Thomas Schierl, Fraunhofer Heinrich-Hertz-Institute, Germany; Moncef Gabbouj, Tampere University, Germany
  MP-P.PZ1.3: HISTORY DEPENDENT SIGNIFICANCE CODING FOR INCREMENTAL NEURAL NETWORK COMPRESSION
  Gerhard Tech, Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Mueller, Jonathan Pfaff, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand, Fraunhofer HHI, Germany
  MP-P.PZ1.4: WiFi-based Spatiotemporal Human Action Perception
  Yanling Hao, Yuanwei Liu, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland; Zhiyuan Shi, Onfido Research London, United Kingdom of Great Britain and Northern Ireland
  MP-P.PZ1.5: CHANNEL-WISE BIT ALLOCATION FOR DEEP VISUAL FEATURE QUANTIZATION
  Wei Wang, Long Xu, National Space Science Center, Chinese Academy of Sciences, China, China; Zhuo Chen, Zhe Wang, Jie Lin, Institute for Infocomm Research, A*STAR, Singapore, Singapore; Weisi Lin, Nanyang Technological University, Singapore, Singapore