activity
20192026
most citedUGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content

313 citations · 1.1k across the 28 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 281 cited

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…

cs.MM2021★ 5 cited

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…

cs.MM2021★ 7 cited

Multi-feature 360 Video Quality Estimation

Roberto G. de A. Azevedo, Neil Birkbeck, Ivan Janatra +2

We propose a new method for the visual quality assessment of 360-degree (omnidirectional) videos. The proposed method is based on computing multiple spatio-temporal objective quali…

cs.CV2021★ 3 cited

Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models

Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen +4

Video and image quality assessment has long been projected as a regression problem, which requires predicting a continuous quality score given an input stimulus. However, recent ef…

cs.CV2021★ 220 cited

RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content

Zhengzhong Tu, Xiangxu Yu, Yilin Wang +3

Blind or no-reference video quality assessment of user-generated content (UGC) has become a trending, challenging, heretofore unsolved problem. Accurate and efficient video quality…