Adaptive loop filtering (ALF) is extensively investigated for lossy video coding to mitigate
compression noise. Numerous learning-based ALFs have emerged recently and improved …

This article proposes a reconfigurable framework for neural network based video in-loop
filtering to guide large-scale models for content-aware processing. Specifically, the …

Abstract The Joint Video Experts Team (JVET) has announced the latest generation of the
Versatile Video Coding (VVC, H. 266) standard. The in-loop filter in VVC inherits the De …

The block-based coding structure in the hybrid video coding framework inevitably introduces
compression artifacts such as blocking, ringing, and so on. To compensate for those …

In this paper, a data-driven generalization of the adaptive loop filter (ALF) of Versatile Video
Coding (VVC) is presented. It is shown how the conventional ALF process of classification …

Recently, learning-based in-loop filtering has attracted lots of attention. State-of-the-art
works generally deploy computationally expensive, large-scale neural networks, which is …

The growing demand of high-resolution video on portable devices, the applications require
higher coding efficiency, high throughput and low power for handling heterogenous types of …

Recently, convolutional neural network (CNN)-based in-loop filters have been introduced for
video coding and they show huge coding gains. However, one of the main issues of this …

To reduce compression artifacts in video coding, prior knowledge from the codec is often
utilized by deep learning based enhancement methods. However, most existing algorithms …

The demand for image and video content has increased rapidly over the past decades. In
order to meet today's transmission and storage constraints, efficient compression tools are …