Surveillance Video Coding for Traffic Scene based on Vehicle Knowledge and Shared Library by Cloud-Edge Computing in Cyber-Physical-Social Systems

Gang WANG, Mingliang ZHOU*, Bin FANG, Shiting WEN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

6 Citations (Scopus)

Abstract

With rapid development of intelligent video surveillance systems based on cloud computing devices and edge computing devices in Cyber-Physical-Social Systems, massive surveillance video data has brings enormous challenge for video storage and transmission. However, existing surveillance video coding approaches hardly utilize intelligent video analysis results for improving video coding. This paper proposed a surveillance video coding scheme for traffic scene based on vehicle knowledge and shared library by cloud-edge computing in Cyber-Physical-Social Systems. Firstly, in order to provide the object library for synchronous application at the encode and decode side offline, a generation method of shared long-term foreground reference object library is proposed by using the existing large-scale monitoring vehicle object datasets. Then, to meet the requirement of low complexity and high-performance coding, a virtual foreground reference picture generation method with coding-oriented object retrieval is proposed. Experimental results show that the proposed scheme can obtain the satisfactory effect of the virtual foreground reference picture. Also, it can yield remarkable bit rate reductions, compared to HEVC.

Original languageEnglish
Article number2154019
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume35
Issue number6
Early online date30 Jan 2021
DOIs
Publication statusPublished - May 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 World Scientific Publishing Company.

Keywords

  • cloud-edge computing
  • cyber-physical-social systems
  • object library
  • Surveillance video coding
  • virtual foreground reference picture

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