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20192023
most citedUGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content

313 citations · 1.4k across the 26 of their papers we have counts for

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10 papers · 1 filter

eess.IV2023★ 1 cited

Comparison of HDR quality metrics in Per-Clip Lagrangian multiplier optimisation with AV1

Vibhoothi, François Pitié, Angeliki Katsenou +3

The complexity of modern codecs along with the increased need of delivering high-quality videos at low bitrates has reinforced the idea of a per-clip tailoring of parameters for op…

eess.IV2023

Rate-Distortion Optimization With Alternative References For UGC Video Compression

Xin Xiong, Eduardo Pavez, Antonio Ortega +1

User generated content (UGC) refers to videos that are uploaded by users and shared over the Internet. UGC may have low quality due to noise and previous compression. When re-encod…

eess.IV2022★ 1 cited

Direct Optimisation of for HDR Content Adaptive Transcoding in AV1

Vibhoothi, François Pitié, Angeliki Katsenou +6

Since the adoption of VP9 by Netflix in 2016, royalty-free coding standards continued to gain prominence through the activities of the AOMedia consortium. AV1, the latest open sour…

eess.IV2022★ 2 cited

CONVIQT: Contrastive Video Quality Estimator

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

Perceptual video quality assessment (VQA) is an integral component of many streaming and video sharing platforms. Here we consider the problem of learning perceptually relevant vid…

eess.IV2022★ 2 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.IV2022★ 2 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,…

eess.IV2022

Compression of user generated content using denoised references

Eduardo Pavez, Enrique Perez, Xin Xiong +2

Video shared over the internet is commonly referred to as user generated content (UGC). UGC video may have low quality due to various factors including previous compression. UGC vi…

eess.IV2020★ 31 cited

Adaptive Debanding Filter

Zhengzhong Tu, Jessie Lin, Yilin Wang +2

Banding artifacts, which manifest as staircase-like color bands on pictures or video frames, is a common distortion caused by compression of low-textured smooth regions. These fals…

eess.IV2020★ 52 cited

Predicting the Quality of Compressed Videos with Pre-Existing Distortions

Xiangxu Yu, Neil Birkbeck, Yilin Wang +3

Over the past decade, the online video industry has greatly expanded the volume of visual data that is streamed and shared over the Internet. Moreover, because of the increasing ea…

eess.IV2020

BBAND Index: A No-Reference Banding Artifact Predictor

Zhengzhong Tu, Jessie Lin, Yilin Wang +2

Banding artifact, or false contouring, is a common video compression impairment that tends to appear on large flat regions in encoded videos. These staircase-shaped color bands can…