A review of image analysis techniques for adult content detection: Child protection

Justice Kwame Appati, Kennedy Yaw Lodonu, Richmond Chris-Koka

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

Abstract

The fast growth of internet access globally without boundary has led to some negative impacts among children who are exposed to pornographic contents daily. Many parental control strategies have been put in place to protect these children; however, these strategies are usually inspired by political and social interventions. With the availability of computational tools, many automated explicit content detection methods though having their flaws have been proposed to support these social interventions. In this study, a review of the current automated adult content detectors is presented with open issues for future research work.

Original languageEnglish
Pages (from-to)102-121
Number of pages20
JournalInternational Journal of Software Innovation
Volume9
Issue number2
DOIs
Publication statusPublished - 1 Apr 2021

Keywords

  • Accuracy
  • Classification
  • Convolutional Neural Network
  • Deep Learning
  • Explicit Content
  • Feature Extraction
  • Global Features
  • Histogram Equalization
  • Pornography
  • Precision
  • Region of Interest

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