A Survey of Content-Based Video Retrieval

Article Properties
Cite
Geetha, P., and Vasumathi Narayanan. “A Survey of Content-Based Video Retrieval”. Journal of Computer Science, vol. 4, no. 6, 2008, pp. 474-86, https://doi.org/10.3844/jcssp.2008.474.486.
Geetha, P., & Narayanan, V. (2008). A Survey of Content-Based Video Retrieval. Journal of Computer Science, 4(6), 474-486. https://doi.org/10.3844/jcssp.2008.474.486
Geetha P, Narayanan V. A Survey of Content-Based Video Retrieval. Journal of Computer Science. 2008;4(6):474-86.
Citations
Title Journal Journal Categories Citations Publication Date
A multi-embedding neural model for incident video retrieval Pattern Recognition
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2 2022
The development of a video retrieval system using a clinician-led approach Expert Systems with Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2020
On Influential Trends in Interactive Video Retrieval: Video Browser Showdown 2015–2017 IEEE Transactions on Multimedia
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • 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
2018
Two-Way Affective Modeling for Hidden Movie Highlights’ Extraction

Sensors
  • Technology: Chemical technology
  • Science: Chemistry: Analytical chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
2018
Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discovery 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 Science: Mathematics: Instruments and machines: Electronic computers. Computer science 20 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled SHIATSU: tagging and retrieving videos without worries and was published in 2011. The most recent citation comes from a 2022 study titled A multi-embedding neural model for incident video retrieval. This article reached its peak citation in 2013, with 7 citations. It has been cited in 19 different journals, 5% of which are open access. Among related journals, the Pattern Recognition 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