Intelligent video coding (IVC), which dates back to the late 1980s with the concept of
encoding videos with knowledge and semantics, includes visual content compact …

Learning-based post-processing methods generally produce neural models that are
statistically optimal on their training datasets. These models, however, neglect intrinsic …

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 …

Video compression allows for efficient storage and transmission of data, benefiting imaging
and vision applications, eg computational imaging, photography, and displays by delivering …

In order to cope with the fluctuation of network bandwidth and provide smooth video
services, adaptive video streaming technology is proposed. In particular, the adaptive bitrate …

As a compression standard, Geometry-based Point Cloud Compression (G-PCC) can
effectively reduce data by compressing both geometric and attribute information. Even so …

A learning-based adaptive loop filter is developed for the Geometry-based Point Cloud
Compression (G-PCC) standard to reduce attribute compression artifacts. The proposed …

In this paper, a hybrid video compression framework is proposed that serves as a
demonstrative showcase of deep learning-based approaches extending beyond the …

The state-of-the-art neural network-based (NN-based) in-loop filters for video coding are
built on convolutional neural networks. The Joint Video Experts Team (JVET) activities …