WE3.L6.5
NASSBLIF: NO-REFERENCE LIGHT FIELD IMAGE QUALITY ASSESSMENT VIA NEIGHBORHOOD ATTENTION AND SCALE SWIN
Myllena De Almeida Prado, Mylene Queiroz de Farias, Texas State University, United States
Session:
WE3.L6: Image and Video Sensing, Modeling, and Representation 2 Lecture
Track:
[IV-SMR] Image and video sensing, modeling, and representation
Location:
Room 4 (SS2)
Presentation Time:
Wed, 17 Sep, 11:00 - 11:15 Anchorage Time (UTC -8)
Session Chair:
Andre Kaup, Friedrich-Alexander University Erlangen-Nürnberg
Presentation
Discussion
Resources
No resources available.
Session WE3.L6
WE3.L6.1: X265-PVMAF: A REAL-TIME PERCEPTUAL VIDEO QUALITY METRIC FOR HEVC VIDEO ENCODING
Axel De Decker, Ghent University, Belgium; Sangar Sivashanmugam, Jan De Cock, Synamedia, Canada; Hannes Mareen, Peter Lambert, Glenn Van Wallendael, Ghent University - imec, Belgium
WE3.L6.2: A NOVEL GAME GRAPHICS QUALITY EVALUATION MODEL USING SALIENCY AND RESOLUTION INFORMATION
Binlin Feng, Ying Chu, Shenzhen University, China; Li Zhou, Hengyong Yu, University of Massachusetts Lowell, United States
WE3.L6.3: PIT-QMM: A Large Multimodal Model for No-Reference Point Cloud Quality Assessment
Shashank Gupta, The University of Texas at Austin, United States; Gregoire Phillips, Ericsson Research, United States; Alan Bovik, The University of Texas at Austin, United States
WE3.L6.4: DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality
Xinyi Wang, Angeliki Katsenou, David Bull, University of Bristol, United Kingdom
WE3.L6.5: NASSBLIF: NO-REFERENCE LIGHT FIELD IMAGE QUALITY ASSESSMENT VIA NEIGHBORHOOD ATTENTION AND SCALE SWIN
Myllena De Almeida Prado, Mylene Queiroz de Farias, Texas State University, United States
WE3.L6.6: EFFICIENT IMPLICIT NEURAL REPRESENTATIONS FOR VIDEOS WITH FEATURE MODULATION
Haeyoon Yang, Nam Ik Cho, Seoul National University, Korea (South)
Contacts