313 citations · 1.3k across the 32 of their papers we have counts for
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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…
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…
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,…
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…
GIFnets: Differentiable GIF Encoding Framework
Innfarn Yoo, Xiyang Luo, Yilin Wang +2
Graphics Interchange Format (GIF) is a widely used image file format. Due to the limited number of palette colors, GIF encoding often introduces color banding artifacts. Traditiona…
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…
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…