Next Article in Journal
Life-Cycle Expectation Using Fault-Tree Analysis for Improved Hybrid Submodule in HVDC System
Next Article in Special Issue
Speech Processing for Language Learning: A Practical Approach to Computer-Assisted Pronunciation Teaching
Previous Article in Journal
A Segmented Preprocessing Method for the Vibration Signal of an On-Load Tap Changer
Previous Article in Special Issue
Employing Subjective Tests and Deep Learning for Discovering the Relationship between Personality Types and Preferred Music Genres

A GAN-Based Video Intra Coding

by 1, 2,3,*, 1 and 1,4
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
School of Microelectronics Science and Technology, Sun Yat-Sen University, Zhuhai 519082, China
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
Peng Cheng Laboratory, Shenzhen 518000, China
Author to whom correspondence should be addressed.
Electronics 2021, 10(2), 132;
Received: 20 November 2020 / Revised: 31 December 2020 / Accepted: 4 January 2021 / Published: 9 January 2021
(This article belongs to the Special Issue Recent Advances in Multimedia Signal Processing and Communications)
Intra prediction is a vital part of the image/video coding framework, which is designed to remove spatial redundancy within a picture. Based on a set of predefined linear combinations, traditional intra prediction cannot cope with coding blocks with irregular textures. To tackle this drawback, in this article, we propose a Generative Adversarial Network (GAN)-based intra prediction approach to enhance intra prediction accuracy. Specifically, with the superior non-linear fitting ability, the well-trained generator of GAN acts as a mapping from the adjacent reconstructed signals to the prediction unit, implemented into both encoder and decoder. Simulation results show that for All-Intra configuration, our proposed algorithm achieves, on average, a 1.6% BD-rate cutback for luminance components compared with video coding reference software HM-16.15 and outperforms previous similar works. View Full-Text
Keywords: intra coding; generative adversarial network; video coding; high efficiency video coding intra coding; generative adversarial network; video coding; high efficiency video coding
Show Figures

Figure 1

MDPI and ACS Style

Zhong, G.; Wang, J.; Hu, J.; Liang, F. A GAN-Based Video Intra Coding. Electronics 2021, 10, 132.

AMA Style

Zhong G, Wang J, Hu J, Liang F. A GAN-Based Video Intra Coding. Electronics. 2021; 10(2):132.

Chicago/Turabian Style

Zhong, Guangyu, Jun Wang, Jiyuan Hu, and Fan Liang. 2021. "A GAN-Based Video Intra Coding" Electronics 10, no. 2: 132.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop