TP1.L409.1
PRNET: A PROGRESSIVE REGRESSION NETWORK FOR NO-REFERENCE USER-GENERATED-CONTENT (UGC) VIDEO QUALITY ASSESSMENT
Yang Yang, Netease, China; Bo Jiang, Zhejiang Lab, China; Kailin Wu, Bytedance Inc., China
Session:
TP1.L409: Quality Assessment II Lecture
Track:
Image and Video Sensing, Modeling, and Representation
Location:
Room 409
Presentation Time:
Tue, 10 Oct, 14:30 - 14:48 Malaysia Time (UTC +8)
Session Chair:
Antonio Pinheiro, Universidade da Beira Interior
Session TP1.L409
TP1.L409.1: PRNET: A PROGRESSIVE REGRESSION NETWORK FOR NO-REFERENCE USER-GENERATED-CONTENT (UGC) VIDEO QUALITY ASSESSMENT
Yang Yang, Netease, China; Bo Jiang, Zhejiang Lab, China; Kailin Wu, Bytedance Inc., China
TP1.L409.2: BLIND QUALITY ASSESSMENT OF LIGHT FIELD IMAGE BASED ON SPATIO-ANGULAR TEXTURAL VARIATION
Zhengyu Zhang, Institut National des Sciences Appliquées de Rennes, France; Shishun Tian, Wenbin Zou, Yuhang Zhang, Shenzhen University, China; Luce Morin, Lu Zhang, Institut National des Sciences Appliquées de Rennes, France
TP1.L409.3: SUBJECTIVE ASSESSMENT OF THE IMPACT OF A CONTENT ADAPTIVE OPTIMISER FOR COMPRESSING 4K HDR CONTENT WITH AV1
Vibhoothi Vibhoothi, Angeliki Katsenou, François Pitié, Trinity College Dublin, Ireland; Katarina Domijan, Maynooth University, Ireland; Anil Kokaram, Trinity College Dublin, Ireland
TP1.L409.4: SELF PATCH LABELING USING QUALITY DISTRIBUTION ESTIMATION FOR CNN-BASED 360-IQA TRAINING
Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Université de Poitiers, France
TP1.L409.5: SUBJECTIVE QUALITY ASSESSMENT OF ENHANCED RETINAL IMAGES
Guanghui Yue, Shaoping Zhang, Yuan Li, Shenzhen University, China; Xiaoyan Zhou, University of Hong Kong-Shenzhen Hospital, China; Tianwei Zhou, Shenzhen University, China; Wei Zhou, University of Waterloo, Canada
Contacts