MA.L304.5
BITRATE-PERFORMANCE OPTIMIZED MODEL TRAINING FOR THE NEURAL NETWORK CODING (NNC) STANDARD
Paul Haase, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand, Fraunhofer Heinrich-Hertz-Institute, Germany
Session:
MA.L304: Learned Video Coding Lecture
Track:
Image and Video Communications
Location:
Room 304
Presentation Time:
Mon, 9 Oct, 12:12 - 12:30 Malaysia Time (UTC +8)
Session Chair:
Fernando Pereira, IST-IT
Session MA.L304
MA.L304.1: PS-NERV: PATCH-WISE STYLIZED NEURAL REPRESENTATIONS FOR VIDEOS
Yunpeng Bai, Tsinghua University, China; Chao Dong, Chinese Academy of Sciences, China; Cairong Wang, Chun Yuan, Tsinghua University, China
MA.L304.2: FAST LEARNING-BASED SPLIT TYPE PREDICTION ALGORITHM FOR VVC
Dayong Wang, Liulin Chen, Chongqing University of Posts and Telecommunications, China; Xin Lu, De Montfort University, United Kingdom of Great Britain and Northern Ireland; Frederic Dufaux, Universit´e Paris-Saclay, France; Weisheng Li, Chongqing University of Posts and Telecommunications, China; Ce Zhu, University of Electronic Science and Technology of China, China
MA.L304.3: MACHINE-ATTENTION-BASED VIDEO CODING FOR MACHINES
Yegi Lee, Shin Kim, Kyoungro Yoon, Konkuk University, Korea, Republic of; Hanshin Lim, Sangwoon Kwak, Hyon-Gon Choo, Electronics and Telecommunications Research Institute, Korea, Republic of
MA.L304.4: FGC-VC: FLOW-GUIDED CONTEXT VIDEO COMPRESSION
Yiming Wang, Qian Huang, Bin Tang, Hohai University, China; Huashan Sun, Xiaotong Guo, Hohai University, Nanjing Huiying Electronics Technology Corporation, China
MA.L304.5: BITRATE-PERFORMANCE OPTIMIZED MODEL TRAINING FOR THE NEURAL NETWORK CODING (NNC) STANDARD
Paul Haase, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand, Fraunhofer Heinrich-Hertz-Institute, Germany
Contacts