WP-V2.V10.2

WHEN IS THE CLEANING OF SUBJECTIVE DATA RELEVANT TO TRAIN UGC VIDEO QUALITY METRICS?

Anne-Flore Perrin, Charles Dormeval, Patrick Le Callet, Nantes Université, Ecole Centrale Nantes, CAPACITES SAS, CNRS, LS2N, UMR 6004, F-4000, France; Yilin Wang, Neil Birkbeck, Balu Adsumilli, Google Inc., United States of America
Session:
Perception and Quality Models
Virtual Poster
Track:
Image and Video Sensing, Modeling, and Representation
Location:
Gather.Town 10
Presentation Time:
Wed, 5 Oct, 22:00 - 23:00 China Standard Time (UTC +8)
Wed, 5 Oct, 16:00 - 17:00 Central European Time (UTC +2)
Wed, 5 Oct, 14:00 - 15:00 UTC
Wed, 5 Oct, 10:00 - 11:00 Eastern Time (UTC -4)
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 WP-V2.V10
WP-V2.V10.1: EXPLORE SPATIAL AND CHANNEL ATTENTION IN IMAGE QUALITY ASSESSMENT
Junyong You, NORCE Norwegian Research Centre, Norway; Jie Yan, North China Electric Power University, China
WP-V2.V10.2: WHEN IS THE CLEANING OF SUBJECTIVE DATA RELEVANT TO TRAIN UGC VIDEO QUALITY METRICS?
Anne-Flore Perrin, Charles Dormeval, Patrick Le Callet, Nantes Université, Ecole Centrale Nantes, CAPACITES SAS, CNRS, LS2N, UMR 6004, F-4000, France; Yilin Wang, Neil Birkbeck, Balu Adsumilli, Google Inc., United States of America
WP-V2.V10.3: ANALYSIS OF VIDEO QUALITY INDUCED SPATIO-TEMPORAL SALIENCY SHIFTS
Xinbo Wu, Zhengyan Dong, Paul L. Rosin, Hantao Liu, Cardiff University, United Kingdom of Great Britain and Northern Ireland; Fan Zhang, University of Bristol, United Kingdom of Great Britain and Northern Ireland
WP-V2.V10.4: End-to-end Deep Multi-score Model for No-reference Stereoscopic Image Quality Assessment
Oussama Messai, Univ Lyon, Univ Lyon 2, CNRS, INSA Lyon, UCBL, LIRIS, UMR5205, F-69676 Bron, France, France; Aladine Chetouani, PRISME Laboratory, University of Orleans, France., France
WP-V2.V10.5: A NO-REFERENCE MEASURE FOR UNEVEN ILLUMINATION ASSESSMENT ON LAPAROSCOPIC IMAGES
Tan-Sy Nguyen, John Chaussard, Marie Luong, Hatem Zaag, Azeddine Beghdadi, Université Sorbonne Paris Nord, France
WP-V2.V10.6: TRANSFER LEARNING FROM VISION TRANSFORMERS OR CONVNETS FOR 360-DEGREE IMAGES QUALITY ASSESSMENT?
Abderrezzaq Sendjasni, Chaker Larabi, Université de Poitiers, France
WP-V2.V10.7: OMNIDIRECTIONAL VIDEO QUALITY INDEX ACCOUNTING FOR JUDDER
Saeed Mahmoudpour, Peter Schelkens, Vrije Universiteit Brussel, Belgium
WP-V2.V10.8: Quality evaluation of holographic images coded with standard codecs
Hadi Amirpourazarian, Antonio Pinheiro, U.B.I. & I.T., Portugal; Elsa Fonseca, Manuela Pereira, U.B.I. - Universidade da Beira Interior & Instituto de Telecomunicacoes, Portugal; Mohammed Ghanbari, University of Essex, United Kingdom of Great Britain and Northern Ireland
WP-V2.V10.9: A New Video Quality Assessment Dataset for Video Surveillance Applications
Azeddine Beghdadi, Universite Sorbonne Paris Nord, France, France; Muhammad Ali Qureshi, Hammad Hassan Gillani, The Islamia University of Bahawalpur, Pakistan; Borhene Eddine Dakkar, Zohaib Amjad Khan, Mounir Kaaniche, University Sorbonne Paris Nord, France; Mohib Ullah, Faouzi Alaya Cheikh, Norwegian University of Science and Technology (NTNU), Norway
WP-V2.V10.10: Learning graph features for colored mesh visual quality assessment
Mohammed El Hassouni, FLSH, Mohammed V University in Rabat, Morocco; Hocine Cherifi, LIB, Université de Bourgogne, France