Deep learning has achieved great success in the past decade, especially in the fields of
computer vision and image processing. After witnessing such success, video coding experts …

As a rapid development of neural-network-based machine learning algorithms, deep
learning methods are being tentatively used in a much wider range than well-known artificial …

Integrating deep learning techniques into the video coding framework gains significant
improvement compared to the standard compression techniques, especially applying super …

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 …

In this paper, we propose a novel Convolutional Neural Network (CNN) based video coding
technique using a video prediction network (VPN) to support enhanced motion prediction in …

The advancements in the domain of video coding technologies are tremendously fluctuating
in recent years. As the public got acquainted with the creation and availability of videos …

Implicit neural representations (INRs) were recently proposed as a new video compression
paradigm with existing approaches performing on par with HEVC. However such methods …

With the growing popularity of live streaming, high video quality and low latency with limited
uplink bandwidth have become a significant challenge. In this study, we propose Live S uper …

HEVC is the latest video coding standard, in which inter prediction plays an important role to
reduce the temporal redundancy. The accuracy of inter prediction is limited since only …

Frame extrapolation is to predict future frames from the past (reference) frames, which has
been studied intensively in the computer vision research and has great potential in video …