Shearlet Based Video Fingerprint for Content-Based Copy Detection

Article Properties
Cite
Yuan, Fang, et al. “Shearlet Based Video Fingerprint for Content-Based Copy Detection”. Journal of Signal and Information Processing, vol. 07, no. 02, 2016, pp. 84-97, https://doi.org/10.4236/jsip.2016.72010.
Yuan, F., Po, L.-M., Liu, M., Xu, X., Jian, W., Wong, K., & Cheung, K. W. (2016). Shearlet Based Video Fingerprint for Content-Based Copy Detection. Journal of Signal and Information Processing, 07(02), 84-97. https://doi.org/10.4236/jsip.2016.72010
Yuan F, Po LM, Liu M, Xu X, Jian W, Wong K, et al. Shearlet Based Video Fingerprint for Content-Based Copy Detection. Journal of Signal and Information Processing. 2016;07(02):84-97.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/3-540-45925-1_11
10.1007/3-540-45925-1_11
10.1007/3-540-45925-1_11
10.1007/3-540-45925-1_11
10.1007/3-540-45925-1_11
Citations
Title Journal Journal Categories Citations Publication Date
Video fingerprinting: Past, present, and future

Frontiers in Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
1 2022
SH-CNN: Shearlet Convolutional Neural Network for Gender Classification Advances in Science, Technology and Engineering Systems Journal 2020
Partial-copy detection of non-simulated videos using learning at decision level Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • 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
4 2018
Video copy detection by conducting fast searching of inverted files Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • 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
3 2018
A new perceptual video fingerprinting system Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • 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
2 2017
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Towards a Video Passive Content Fingerprinting Method for Partial-Copy Detection Robust against Non-Simulated Attacks and was published in 2016. The most recent citation comes from a 2022 study titled Video fingerprinting: Past, present, and future. This article reached its peak citation in 2018, with 2 citations. It has been cited in 4 different journals, 50% of which are open access. Among related journals, the Multimedia Tools and Applications cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year