TA.L409: Quality Assessment I
Tue, 10 Oct, 11:00 - 12:30 Malaysia Time (UTC +8)
Location: Room 409
Session Type: Lecture
Session Chair: Chaker Larabi, Université de Poitiers
Track: Image and Video Sensing, Modeling, and Representation
Click the to view the manuscript on IEEE Xplore Open Preview
Tue, 10 Oct, 11:00 - 11:18 Malaysia Time (UTC +8)
 

TA.L409.1: HALF OF AN IMAGE IS ENOUGH FOR QUALITY ASSESSMENT
Junyong You, NORCE Norwegian Research Centre, Norway; Yuan Lin, Kristiania University College, Norway; Jari Korhonen, University of Aberdeen, United Kingdom of Great Britain and Northern Ireland
Tue, 10 Oct, 11:18 - 11:36 Malaysia Time (UTC +8)
 

TA.L409.2: MTJND: MULTI-TASK DEEP LEARNING FRAMEWORK FOR IMPROVED JND PREDICTION
Sanaz Nami, Tampere University, University of Tehran, Finland; Farhad Pakdaman, Tampere University, Finland; Mahmoud Reza Hashemi, University of Tehran, Iran (Islamic Republic of); Shervin Shirmohammadi, University of Ottawa, Canada; Moncef Gabbouj, Tampere University, Finland
Tue, 10 Oct, 11:36 - 11:54 Malaysia Time (UTC +8)
 

TA.L409.3: An Inter-observer consistent deep adversarial training for visual scanpath prediction
Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, University of Orleans, France; Alessandro Bruno, IULM University, Italy
Tue, 10 Oct, 11:54 - 12:12 Malaysia Time (UTC +8)
 

TA.L409.4: PRE-TRAINING WITH FRACTAL IMAGES FACILITATES LEARNED IMAGE QUALITY ESTIMATION
Malte Silbernagel, Thomas Wiegand, Peter Eisert, Sebastian Bosse, Fraunhofer Heinrich-Hertz-Institute, Germany
Tue, 10 Oct, 12:12 - 12:30 Malaysia Time (UTC +8)

TA.L409.5: A Multiscale Approach to Deep Blind Image Quality Assessment
Manni Liu, South China University of Technology, China; Jiabin Huang, Xiamen University, China; Delu Zeng, South China University of Technology, China; XingHao Ding, Xiamen University, China; John Paisley, Columbia University, United States of America