Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

With the advent of Deep Learning (DL), Super-Resolution (SR) has also become a thriving
research area. However, despite promising results, the field still faces challenges that …

Recent years have witnessed an explosion of user-generated content (UGC) videos shared
and streamed over the Internet, thanks to the evolution of affordable and reliable consumer …

Subjective video quality assessment (VQA) strongly depends on semantics, context, and the
types of visual distortions. Currently, all existing VQA databases include only a small number …

Video super-resolution (SR) aims to generate a high-resolution (HR) frame from multiple low-
resolution (LR) frames. The inter-frame temporal relation is as crucial as the intra-frame …

The great variations of videographic skills in videography, camera designs, compression
and processing protocols, communication and bandwidth environments, and displays leads …

Deep learning methods are increasingly being applied in the optimisation of video
compression algorithms and can achieve significantly enhanced coding gains, compared to …

Recently, many video enhancement methods have been proposed to improve video quality
from different aspects such as color, brightness, contrast, and stability. Therefore, how to …

HTTP adaptive streaming is being increasingly deployed by network content providers, such
as Netflix and YouTube. By dividing video content into data chunks encoded at different …

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement
Challenge, which will be held in conjunction with the New Trends in Image Restoration and …