MQ-L.A.6

ON THE BENEFIT OF PARAMETER-DRIVEN APPROACHES FOR THE MODELING AND THE PREDICTION OF SATISFIED USER RATIO FOR COMPRESSED VIDEO

Jingwen Zhu, Patrick Le Callet, Nantes Université, Ecole Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France, France; Anne-Flore Perrin, CAPACITES SAS, Nantes, France, France; Sriram Sethuraman, Kumar Rahul, Amazon Prime Video, India

Session:
Learning-Based Quality Prediction for Advanced Media
Lecture
Special Session

Track:
Special Sessions

Location:
Room A

Presentation Time:
Mon, 17 Oct, 21:35 - 21:50 China Standard Time (UTC +8)
Mon, 17 Oct, 15:35 - 15:50 Central European Time (UTC +2)
Mon, 17 Oct, 13:35 - 13:50 UTC
Mon, 17 Oct, 09:35 - 09:50 Eastern Time (UTC -4)

Session Chair:
Aladine Chetouani, University of Orleans
Presentation
Discussion
Resources
No resources available.
Session MQ-L.A
MQ-L.A.1: Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates
Joshua Ebenezer, The University of Texas at Austin, United States of America; Yixu Chen, Yongjun Wu, Hai Wei, Sriram Sethuraman, Amazon Prime Video, United States of America
MQ-L.A.2: SUBJECTIVE ASSESSMENT OF HIGH DYNAMIC RANGE VIDEOS UNDER DIFFERENT AMBIENT CONDITIONS
Zaixi Shang, Joshua Ebenezer, Alan Bovik, The University of Texas at Austin, United States of America; Yongjun Wu, Hai Wei, Sriram Sethuraman, Amazon.com, Inc., United States of America
MQ-L.A.3: Light Field Image Quality Assessment with Dense Atrous Convolutions
Sana Alamgeer, Mylene Farias, University of Brasilia, Brazil
MQ-L.A.4: Representation Learning Optimization for 3D Point Cloud Quality Assessment Without Reference
Marouane Tliba, Aladine Chetouani, Laboratoire PRISME, France; Giuseppe Valenzise, Fréderic Dufaux, Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, France; , ,
MQ-L.A.5: EFFICIENT TRANSFORMER WITH LOCALLY SHARED ATTENTION FOR VIDEO QUALITY ASSESSMENT
Junyong You, NORCE Norwegian Research Centre, Norway; Yuan Lin, Kristiania University College, Norway
MQ-L.A.6: ON THE BENEFIT OF PARAMETER-DRIVEN APPROACHES FOR THE MODELING AND THE PREDICTION OF SATISFIED USER RATIO FOR COMPRESSED VIDEO
Jingwen Zhu, Patrick Le Callet, Nantes Université, Ecole Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France, France; Anne-Flore Perrin, CAPACITES SAS, Nantes, France, France; Sriram Sethuraman, Kumar Rahul, Amazon Prime Video, India