ZTE Communications ›› 2024, Vol. 22 ›› Issue (1): 62-76.DOI: 10.12142/ZTECOM.202401008

• Review • Previous Articles     Next Articles

Recent Advances in Video Coding for Machines Standard and Technologies

ZHANG Qiang1,2, MEI Junjun1,2, GUAN Tao1,2, SUN Zhewen3, ZHANG Zixiang3, YU Li3()   

  1. 1.State Key Laboratory of Mobile Network and Mobile Multimedia Technology, Shenzhen 518055, China
    2.ZTE Corporation, Shenzhen 518057, China
    3.Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2023-07-02 Online:2024-03-29 Published:2024-03-28
  • About author:ZHANG Qiang is the Director of the Big Video Committee of ZTE Corporation. His research interests include computer vision, audio and video codec, transmission, and network architecture.
    MEI Junjun is the Chief R&D engineer in the audio and video field of ZTE Corporation, engaged in the evolution of the integrated video cloud network architecture, computer vision, audio and video codec, and transmission technologies.
    GUAN Tao is the senior system architect of ZTE Corporation, mainly engaged in the architecture design and algorithm research of video systems and industrial digital systems. He has participated in standard organizations, initiated and compiled the formulation of a number of communication standards, and applied for more than 20 national invention patents.
    SUN Zhewen is a student at the School of Electronic Information and Communications, Huazhong University of Science and Technology, China, currently engaged in research on video coding.
    ZHANG Zixiang is pursuing his master’s degree at the School of Electronic Information and Communications, Huazhong University of Science and Technology, China. He is currently engaged in research on video coding.
    YU Li ( hustlyu@hust.edu.cn) received her PhD degree from Huazhong University of Science and Technology (HUST), China in 1999, where she is currently a professor with the School of Electronic Information and Communications, HUST. Her research interests include image and video coding, multimedia communications, and artificial intelligence.
  • Supported by:
    ZTE Industry-University-Institute Cooperation Funds

Abstract:

To improve the performance of video compression for machine vision analysis tasks, a video coding for machines (VCM) standard working group was established to promote standardization procedures. In this paper, recent advances in video coding for machine standards are presented and comprehensive introductions to the use cases, requirements, evaluation frameworks and corresponding metrics of the VCM standard are given. Then the existing methods are presented, introducing the existing proposals by category and the research progress of the latest VCM conference. Finally, we give conclusions.

Key words: video coding for machines, VCM, video compression