IVMSP-15.6
Texture Information Boosts Video Quality Assessment
Ao-Xiang Zhang, Yuan-Gen Wang, Guangzhou University, China
Session:
Image Communication and Quality Models
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area I
Presentation Time:
Mon, 9 May, 23:00 - 23:45 China Time (UTC +8)
Mon, 9 May, 15:00 - 15:45 UTC
Mon, 9 May, 15:00 - 15:45 UTC
Session Chair:
Qiongqiong Wang, Institute for Infocomm Research, A*STAR
Session IVMSP-15
IVMSP-15.1: UNIVERSAL EFFICIENT VARIABLE-RATE NEURAL IMAGE COMPRESSION
Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang, Harbin Institute of Technology, Shenzhen, China; Fanyang Meng, Wei Liu, Peng Cheng Laboratory, China
IVMSP-15.2: ADDERIC: TOWARDS LOW COMPUTATION COST IMAGE COMPRESSION
Bowen Li, Chao Li, Youneng Bao, Yongsheng Liang, Harbin Institute of Technology, Shenzhen, China, China; Yao Xin, Fanyang Meng, Peng Cheng Laboratory, Shenzhen, China, China
IVMSP-15.3: DCNGAN: A DEFORMABLE CONVOLUTION-BASED GAN WITH QP ADAPTATION FOR PERCEPTUAL QUALITY ENHANCEMENT OF COMPRESSED VIDEO
Saiping Zhang, Fuzheng Yang, Xidian University, China; Luis Herranz, Universitat Autònoma de Barcelona, Spain; Marta Mrak, Marc Gorriz Blanch, British Broadcasting Corporation, United Kingdom of Great Britain and Northern Ireland; Shuai Wan, Northwestern Polytechnical University, China
IVMSP-15.4: SPECIALISED VIDEO QUALITY MODEL FOR ENHANCED USER GENERATED CONTENT (UGC) WITH SPECIAL EFFECTS
Anne-Flore Perrin, Yiejing Xie, Nantes Université, Ecole Centrale Nantes, CAPACITES SAS, CNRS, LS2N, UMR 6004, F-44000 Nantes, France, France; Tao Zhang, Yiting Liao, Junlin Li, ByteDance Inc., United States of America; Patrick Le Callet, Nantes Université, Ecole Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France
IVMSP-15.5: Improving Maximum Likelihood Difference Scaling method to measure inter content scale
Andréas Pastor, Patrick Le Callet, University of Nantes, France; Lukáš Krasula, Xiaoqing Zhu, Zhi Li, Netflix Inc., United States of America
IVMSP-15.6: Texture Information Boosts Video Quality Assessment
Ao-Xiang Zhang, Yuan-Gen Wang, Guangzhou University, China