5 citations · 11 across the 4 of their papers we have counts for
4 papers
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…
Estimating the Resize Parameter in End-to-end Learned Image Compression
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
We describe a search-free resizing framework that can further improve the rate-distortion tradeoff of recent learned image compression models. Our approach is simple: compose a pai…
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,…
Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach
Deepti Ghadiyaram, Alan C. Bovik
Current top-performing blind perceptual image quality prediction models are generally trained on legacy databases of human quality opinion scores on synthetically distorted images.…