Search Results for author:
Found 7 papers, 5 papers with code
CONVIQT: Contrastive Video Quality Estimator
Perceptual video quality assessment (VQA) is an integral component of many streaming and video sharing platforms.
Ranked #1 on
Video Quality Assessment
on LIVE-ETRI
(using extra training data)
Making Video Quality Assessment Models Sensitive to Frame Rate Distortions
We consider the problem of capturing distortions arising from changes in frame rate as part of Video Quality Assessment (VQA).
FAVER: Blind Quality Prediction of Variable Frame Rate Videos
Video quality assessment (VQA) remains an important and challenging problem that affects many applications at the widest scales.
Image Quality Assessment using Contrastive Learning
We consider the problem of obtaining image quality representations in a self-supervised manner.
Ranked #2 on
Video Quality Assessment
on LIVE-ETRI
(using extra training data)
ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction
We consider the problem of conducting frame rate dependent video quality assessment (VQA) on videos of diverse frame rates, including high frame rate (HFR) videos.
Ranked #1 on
Video Quality Assessment
on LIVE-YT-HFR
Subjective and Objective Quality Assessment of High Frame Rate Videos
We also conducted a holistic evaluation of existing state-of-the-art Full and No-Reference video quality algorithms, and statistically benchmarked their performance on the new database.
Capturing Video Frame Rate Variations via Entropic Differencing
High frame rate videos are increasingly getting popular in recent years, driven by the strong requirements of the entertainment and streaming industries to provide high quality of experiences to consumers.
Ranked #3 on
Video Quality Assessment
on LIVE-YT-HFR
