H Zhang, C Jung, D Zou, M Li - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, we propose a weakly connected dense attention neural network for compression artifact removal, called WCDANN. WCDANN is a convolutional neural network …
T Tang, Y Yang, D Wu, R Wang, Z Li - Digital Communications and …, 2024 - Elsevier
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 …
H Li, P Zhang, B Jin, Q Zhang - Electronics, 2023 - mdpi.com
Compared with the previous generation of High Efficiency Video Coding (HEVC), Versatile Video Coding (VVC) introduces a quadtree and multi-type tree (QTMT) partition structure …
W Gwun, K Choi, GH Park - Mathematics, 2024 - mdpi.com
Over the past few years, there has been substantial interest and research activity surrounding the application of Convolutional Neural Networks (CNNs) for post-filtering in …
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 VVC standard, also known as Versatile Video Coding represents an advancement, in video compression technology. Its main objective is to improve compression efficiency while …
Y Li, L Zhang, J Xu, K Zhang - 2022 Picture Coding Symposium …, 2022 - ieeexplore.ieee.org
Recently years have witnessed an increasing interest in the neural network-based video coding, including end2end and hybrid schemes. To foster the research in this emerging field …