activity
20192022
most citedMMSys'21 Grand Challenge on Detecting Cheapfakes

9 citations · 28 across the 9 of their papers we have counts for

collaborators

15 papers

eess.IV20222 cited

Making Video Quality Assessment Models Sensitive to Frame Rate Distortions

Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang +2

We consider the problem of capturing distortions arising from changes in frame rate as part of Video Quality Assessment (VQA). Variable frame rate (VFR) videos have become much mor…

eess.IV20222 cited

Perceptual Quality Assessment of UGC Gaming Videos

Xiangxu Yu, Zhengzhong Tu, Neil Birkbeck +3

In recent years, with the vigorous development of the video game industry, the proportion of gaming videos on major video websites like YouTube has dramatically increased. However,…

cs.CV20223 cited

Subjective and Objective Analysis of Streamed Gaming Videos

Xiangxu Yu, Zhenqiang Ying, Neil Birkbeck +3

The rising popularity of online User-Generated-Content (UGC) in the form of streamed and shared videos, has hastened the development of perceptual Video Quality Assessment (VQA) mo…

cs.MM20215 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.MM20219 cited

MMSys'21 Grand Challenge on Detecting Cheapfakes

Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen +5

Cheapfake is a recently coined term that encompasses non-AI ("cheap") manipulations of multimedia content. Cheapfakes are known to be more prevalent than deepfakes. Cheapfake media…

cs.MM2021

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…