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20192023
most citedMMSys'21 Grand Challenge on Detecting Cheapfakes

9 citations · 29 across the 10 of their papers we have counts for

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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…

cs.MM2020

ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction

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

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. More generally,…

cs.MM20201 cited

Rate distortion optimization over large scale video corpus with machine learning

Sam John, Akshay Gadde, Balu Adsumilli

We present an efficient codec-agnostic method for bitrate allocation over a large scale video corpus with the goal of minimizing the average bitrate subject to constraints on avera…

cs.MM2020

Capturing Video Frame Rate Variations via Entropic Differencing

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

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…