Video Frame Interpolation (VFI) is a fascinating and challenging problem in the computer
vision (CV) field, aiming to generate non-existing frames between two consecutive video …

This paper provides an overview of our open Ultra Video Group (UVG) dataset that is
composed of 16 versatile 4K (3840× 2160) test video sequences. These natural sequences …

This paper reviews the first NTIRE challenge on quality enhancement of compressed video,
with focus on proposed solutions and results. In this challenge, the new Large-scale Diverse …

Traditional blind image quality assessment (IQA) measures generally predict quality from a
sole distorted image directly. In this paper, we first introduce multiple pseudo reference …

Although many video prediction methods have obtained good performance in low-resolution
(64 128) videos, predictive models for high-resolution (512 4K) videos have not been fully …

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

We study the dual problem of image super-resolution (SR), which we term image compact-
resolution (CR). Opposite to image SR that hallucinates a visually plausible high-resolution …

Inspired by the recent advances of image super-resolution using convolutional neural
network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding …

The dynamic adaptive streaming over HTTP provides an inter-operable solution to
overcome the volatile network conditions, but its complex characteristic brings new …

Current per-title encoding schemes encode the same video content at various bitrates and
spatial resolutions to find an optimized bitrate ladder for each video content in Video on …