activity
20192023
most citedImage Quality Assessment using Contrastive Learning

281 citations · 317 across the 16 of their papers we have counts for

collaborators
Showing 2020 · cs.MMShow all

6 papers · 2 filters

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.MM2020★ 1 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

Subjective and Objective Quality Assessment of High Frame Rate Videos

Pavan C. Madhusudana, Xiangxu Yu, Neil Birkbeck +3

High frame rate (HFR) videos are becoming increasingly common with the tremendous popularity of live, high-action streaming content such as sports. Although HFR contents are genera…

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…

cs.MM2020

Subjective Quality Assessment for YouTube UGC Dataset

Joong Gon Yim, Yilin Wang, Neil Birkbeck +1

Due to the scale of social video sharing, User Generated Content (UGC) is getting more attention from academia and industry. To facilitate compression-related research on UGC, YouT…

cs.MM2020★ 3 cited

A Comparative Evaluation of Temporal Pooling Methods for Blind Video Quality Assessment

Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen +3

Many objective video quality assessment (VQA) algorithms include a key step of temporal pooling of frame-level quality scores. However, less attention has been paid to studying the…