In the last 17 years, since the finalization of the first version of the now-dominant H.
264/Moving Picture Experts Group-4 (MPEG-4) Advanced Video Coding (AVC) standard in …

Highlights•Deep neural networks are shattering performance benchmarks in computer
vision for various tasks.•Using modern deep learning approaches (DNNs) in the lab is a …

We propose a novel neural representation for videos (NeRV) which encodes videos in
neural networks. Unlike conventional representations that treat videos as frame sequences …

Learning based video compression attracts increasing attention in the past few years. The
previous hybrid coding approaches rely on pixel space operations to reduce spatial and …

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 …

Conventional video compression approaches use the predictive coding architecture and
encode the corresponding motion information and residual information. In this paper, taking …

Most existing Augmented Reality (AR) and Mixed Reality (MR) systems are able to
understand the 3D geometry of the surroundings but lack the ability to detect and classify …

The previous deep video compression approaches only use the single scale motion
compensation strategy and rarely adopt the mode prediction technique from the traditional …

In recent years, the image and video coding technologies have advanced by leaps and
bounds. However, due to the popularization of image and video acquisition devices, the …

In this paper, we design a new class of high-efficiency deep joint source-channel coding
methods to achieve end-to-end video transmission over wireless channels. The proposed …