Versatile Video Coding (VVC/H. 266) is the next-generation international video coding
standard and a successor to the widespread High Efficiency Video Coding (HEVC/H. 265) …

There has been an increasing consensus that the machine vision is gradually replacing
human vision in numerous tasks, with the demonstrated success of artificial intelligence. In …

The visual signal compression is a long-standing problem. Fueled by the recent advances of
deep learning, exciting progress has been made. Despite better compression performance …

Versatile Video Coding (H. 266/VVC) is the newest video coding standard jointly developed
by the Joint Video Experts Team (JVET), which is organized by the ITU-T Video Coding …

High Efficiency Video Coding (HEVC) is the key to economic video transmission and storage
in the current multimedia applications but tackling its inherent computational complexity …

Quantization is the process of projecting input values with a large set onto output values with
a smaller set, where a typical example is the analog-to-digital conversion. It maps the …

Given the capabilities of massive GPU hardware, there has been a surge of using artificial
neural networks (ANN) for still image compression. These compression systems usually …

RDOQ (Rate Distortion Optimized Quantization) is an efficient encoding tool that can be
used with several codecs such as H. 264/AVC, H. 265/HEVC or AV1. Although this algorithm …

Vision is the main way for people to perceive and recognize the world. In this paper, four
categories of the redundant information of video encoding, spatial redundancy, time …

There are many tasks within video compression which re-quire fast bit rate estimation. As an
example, rate-control algorithms are only feasible because it is possible to estimate the …