1.7k citations · 4.7k across the 98 of their papers we have counts for
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Image Quality Assessment using Contrastive Learning
Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2
We consider the problem of obtaining image quality representations in a self-supervised manner. We use prediction of distortion type and degree as an auxiliary task to learn featur…
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression
Somdyuti Paul, Andrey Norkin, Alan C. Bovik
Block based motion estimation is integral to inter prediction processes performed in hybrid video codecs. Prevalent block matching based methods that are used to compute block moti…
High Frame Rate Video Quality Assessment using VMAF and Entropic Differences
Pavan C Madhusudana, Neil Birkbeck, Yilin Wang +2
The popularity of streaming videos with live, high-action content has led to an increased interest in High Frame Rate (HFR) videos. In this work we address the problem of frame rat…
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu +3
We propose a new model for no-reference video quality assessment (VQA). Our approach uses a new idea of highly-localized space-time (ST) slices called Space-Time Chips (ST Chips).…
FOVQA: Blind Foveated Video Quality Assessment
Yize Jin, Anjul Patney, Richard Webb +1
Previous blind or No Reference (NR) video quality assessment (VQA) models largely rely on features drawn from natural scene statistics (NSS), but under the assumption that the imag…
Assessment of Subjective and Objective Quality of Live Streaming Sports Videos
Zaixi Shang, Joshua P. Ebenezer, Alan C. Bovik +3
Video live streaming is gaining prevalence among video streaming services, especially for the delivery of popular sporting events. Many objective Video Quality Assessment (VQA) mod…