Telecommunications Science ›› 2017, Vol. 33 ›› Issue (8): 16-25.doi: 10.11959/j.issn.1000-0801.2017248

• Topic:theory and practice of video technology • Previous Articles     Next Articles

Trends and technologies of video coding

Jiantong ZHOU1,Haitao YANG1,Dong LIU2,Xiang MA1,Tian WANG1   

  1. 1 Huawei Technologies Co.,Ltd.,Shenzhen 518129,China
    2 University of Science and Technology of China,Heifei 230026,China
  • Revised:2017-08-08 Online:2017-08-01 Published:2017-08-25


The current video coding uses block based hybrid architecture,which uses predictive,transform,quantization and entropy coding techniques to efficiently compress video signals.Further optimizations on current architectures provide more flexible processing and coding for local characteristics of video image signals.Video coding based on machine learning was expected to change the existing hybrid coding framework partially or comprehensively,and bring new research ideas to video coding.In addition to existing 2D video signal,the future of video also needs to spherical video coding and volumetric video coding for AR/VR applications,the new video source data format of the video encoding technology has brought new opportunities and challenges.

Key words: video coding, machine learning, virtual reality, spherical video, volumetric video

CLC Number: 

No Suggested Reading articles found!