4 citations · 4 across the 6 of their papers we have counts for
6 papers
BVI-UGC: A Video Quality Database for User-Generated Content Transcoding
Zihao Qi, Chen Feng, Fan Zhang +3
In recent years, user-generated content (UGC) has become one of the major video types consumed via streaming networks. Numerous research contributions have focused on assessing its…
Rate-Quality or Energy-Quality Pareto Fronts for Adaptive Video Streaming?
Angeliki Katsenou, Xinyi Wang, Daniel Schien +1
Adaptive video streaming is a key enabler for optimising the delivery of offline encoded video content. The research focus to date has been on optimisation, based solely on rate-qu…
Wavelet-based Topological Loss for Low-Light Image Denoising
Alexandra Malyugina, Nantheera Anantrasirichai, David Bull
Despite extensive research conducted in the field of image denoising, many algorithms still heavily depend on supervised learning and their effectiveness primarily relies on the qu…
UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality Assessment
Xinyi Wang, Angeliki Katsenou, David Bull
The volume of User Generated Content (UGC) has increased in recent years. The challenge with this type of content is assessing its quality. So far, the state-of-the-art metrics are…
Towards a Robust Framework for NeRF Evaluation
Adrian Azzarelli, Nantheera Anantrasirichai, David R Bull
Neural Radiance Field (NeRF) research has attracted significant attention recently, with 3D modelling, virtual/augmented reality, and visual effects driving its application. While…
ST-MFNet Mini: Knowledge Distillation-Driven Frame Interpolation
Crispian Morris, Duolikun Danier, Fan Zhang +2
Currently, one of the major challenges in deep learning-based video frame interpolation (VFI) is the large model sizes and high computational complexity associated with many high p…