Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Implementation and Evaluation of Harmful-Media Filtering Techniques using Multimodal-Information Extraction

  • Yeon-Ji, Lee (Department of Future Convergence Technology Engineering, Sungshin Women's University) ;
  • Ye-Sol, Oh (Department of Future Convergence Technology Engineering, Sungshin Women's University) ;
  • Na-Eun, Park (Department of Future Convergence Technology Engineering, Sungshin Women's University) ;
  • Il-Gu, Lee (Department of Future Convergence Technology Engineering, Sungshin Women's University)
  • Received : 2023.01.04
  • Accepted : 2023.01.27
  • Published : 2023.03.31
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Abstract

Video platforms, including YouTube, have a structure in which the number of video views is directly related to the publisher's profits. Therefore, video publishers induce viewers by using provocative titles and thumbnails to garner more views. The conventional technique used to limit such harmful videos has low detection accuracy and relies on follow-up measures based on user reports. To address these problems, this study proposes a technique to improve the accuracy of filtering harmful media using thumbnails, titles, and audio data from videos. This study analyzed these three pieces of multimodal information; if the number of harmful determinations was greater than the set threshold, the video was deemed to be harmful, and its upload was restricted. The experimental results showed that the proposed multimodal information extraction technique used for harmfulvideo filtering achieved a 9% better performance than YouTube's Restricted Mode with regard to detection accuracy and a 41% better performance than the YouTube automation system.

Keywords

Acknowledgement

This work was supported by Sungshin Women's University Research Grant No. H20220029.

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