5 citations · 17 across the 8 of their papers we have counts for
10 papers
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…
MUSIQ: Multi-scale Image Quality Transformer
Junjie Ke, Qifei Wang, Yilin Wang +2
Image quality assessment (IQA) is an important research topic for understanding and improving visual experience. The current state-of-the-art IQA methods are based on convolutional…
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models
Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen +4
Video and image quality assessment has long been projected as a regression problem, which requires predicting a continuous quality score given an input stimulus. However, recent ef…
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,…
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…