Neural Network Based Rate Control for Versatile Video Coding-Reference-Cited by-同舟云学术

Neural Network Based Rate Control for Versatile Video Coding

Published:2023-10 Issue:10 Volume:33 Page:6072-6085
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Mao Yunhao¹^ORCID,Wang Meng¹^ORCID,Ni Zhangkai²^ORCID,Wang Shiqi¹^ORCID,Kwong Sam¹^ORCID

Affiliation:

1. Department of Computer Science, City University of Hong Kong, Hong Kong, China

2. Department of Computer Science and Technology, Key Laboratory of Embedded System and Service Computing (Ministry of Education), Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China

Funder

Hong Kong Innovation and Technology Commission [InnoHK Project Center of Intelligent Multimedia Data Analysis (CIMDA)]

Hong Kong General Research Fund (GRF)-Research Grant Council (RGC) General Research Fund

National Natural Science Foundation of China

Shanghai Pujiang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10269772/10082986.pdf?arnumber=10082986

Reference78 articles.

1. ISO/MPEG-1 audio: A generic standard for coding of high-quality digital audio;Brandenburg;J. Audio Eng. Soc.,1994

2. The MPEG-4 video standard verification model

3. Overview of the H.264/AVC video coding standard

4. Overview of the High Efficiency Video Coding (HEVC) Standard

5. Overview of the Versatile Video Coding (VVC) Standard and its Applications

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