A Review of Image Analysis Techniques for Adult Content Detection

Author:

Appati Justice Kwame1ORCID,Lodonu Kennedy Yaw1ORCID,Chris-Koka Richmond1ORCID

Affiliation:

1. University of Ghana, Ghana

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.

Publisher

IGI Global

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Science Applications,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. YOLO based Efficient Vigorous Scene Detection And Blurring for Harmful Content Management to Avoid Children’s Destruction;2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC);2022-08-17

2. A hybrid optimization-tuned deep convolutional neural network for bare skinned image classification in websites;Multimedia Tools and Applications;2022-03-26

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