WP-L.C1.1
REVISITING NATURAL SCENE STATISTICAL MODELING USING DEEP FEATURES FOR OPINION-UNAWARE IMAGE QUALITY ASSESSMENT
Saeed Mahmoudpour, Peter Schelkens, imec - ETRO - VUB, Belgium
Session:
Perception and Quality Models
Track:
Image and Video Sensing, Modeling, and Representation
Location:
Room C1
Presentation Time:
Wed, 19 Oct, 22:30 - 22:45 China Standard Time (UTC +8)
Wed, 19 Oct, 16:30 - 16:45 Central European Time (UTC +2)
Wed, 19 Oct, 14:30 - 14:45 UTC
Wed, 19 Oct, 10:30 - 10:45 Eastern Time (UTC -4)
Wed, 19 Oct, 16:30 - 16:45 Central European Time (UTC +2)
Wed, 19 Oct, 14:30 - 14:45 UTC
Wed, 19 Oct, 10:30 - 10:45 Eastern Time (UTC -4)
Session Chair:
Mylene Farias, University of Brasilia
Presentation
Discussion
Resources
No resources available.
Session WP-L.C1
WP-L.C1.1: REVISITING NATURAL SCENE STATISTICAL MODELING USING DEEP FEATURES FOR OPINION-UNAWARE IMAGE QUALITY ASSESSMENT
Saeed Mahmoudpour, Peter Schelkens, imec - ETRO - VUB, Belgium
WP-L.C1.2: REVISITING THE EFFICIENCY OF UGC VIDEO QUALITY ASSESSMENT
Yilin Wang, Google Inc., United States of America; Joong Yim, Neil Birkbeck, Junjie Ke, Hossein Talebi, Xi Chen, Feng Yang, Balu Adsumilli, Google Inc, United States of America
WP-L.C1.3: DEEBLIF: DEEP BLIND LIGHT FIELD IMAGE QUALITY ASSESSMENT BY EXTRACTING ANGULAR AND SPATIAL INFORMATION
Zhengyu Zhang, Luce Morin, Lu Zhang, Institut National des Sciences Appliquées de Rennes, France; Shishun Tian, Wenbin Zou, Shenzhen University, China
WP-L.C1.4: FUNQUE: FUSION OF UNIFIED QUALITY EVALUATORS
Abhinau Venkataramanan, Alan Bovik, The University of Texas at Austin, United States of America; Cosmin Stejerean, Meta Platforms, Inc., United States of America
WP-L.C1.5: INVESTIGATING NORMALIZATION METHODS FOR CNN-BASED IMAGE QUALITY ASSESSMENT
Abderrezzaq Sendjasni, David Traparic, Mohamed-Chaker Larabi, Université de Poitiers, France