Spectrum Analysis-Based Traffic Video Synopsis

Article Properties
Cite
Chen, Zhe, et al. “Spectrum Analysis-Based Traffic Video Synopsis”. Journal of Signal Processing Systems, vol. 90, no. 8-9, 2018, pp. 1257-6, https://doi.org/10.1007/s11265-018-1345-z.
Chen, Z., Lv, G., Lv, L., Fan, T., & Wang, H. (2018). Spectrum Analysis-Based Traffic Video Synopsis. Journal of Signal Processing Systems, 90(8-9), 1257-1267. https://doi.org/10.1007/s11265-018-1345-z
Chen, Zhe, Guofang Lv, Li Lv, Tanghuai Fan, and Huibin Wang. “Spectrum Analysis-Based Traffic Video Synopsis”. Journal of Signal Processing Systems 90, no. 8-9 (2018): 1257-67. https://doi.org/10.1007/s11265-018-1345-z.
Chen Z, Lv G, Lv L, Fan T, Wang H. Spectrum Analysis-Based Traffic Video Synopsis. Journal of Signal Processing Systems. 2018;90(8-9):1257-6.
Journal Categories
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
SA-EAST

ACM Transactions on Embedded Computing Systems
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
45 2017
10.1109/TSG.2017.2664043 2017
10.1109/TITS.2016.2516342 2016
10.1109/TC.2015.2409857 2015
10.1109/TCSVT.2014.2308603 2014
Refrences Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 9 is the most frequently represented among the references in this article. It primarily includes studies from Image and Vision Computing and Real-Time Imaging. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2 2018
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder and was published in 2018. The most recent citation comes from a 2018 study titled Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder. This article reached its peak citation in 2018, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the IEEE Access cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year