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An Adaptive Information Collection Method for Collect Evidence of OTT Content Illegal Distribution Platform

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2024, 20(4), pp.225-232
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : December 3, 2024
  • Accepted : December 20, 2024
  • Published : December 31, 2024

Woo-Seob Lee 1 Seyoung Jang 2 In-Jae Yoo 1 Sunhee Shin 3 Byuong-Chan Park 2 Seok-Yoon Kim 2 Youngmo Kim 2

1숭실대학교 컴퓨터학과
2숭실대학교
3강남대학교

Accredited

ABSTRACT

This paper proposes an end credits-based method for recognizing illegal streaming videos to address the escalating issue of unauthorized distribution of digital video content in line with the expansion of OTT platforms. Traditional methods for identifying illegal content rely on comparing the overall features of videos, which pose limitations in recognition speed when dealing with large-scale content or real-time streaming environments. This study introduces a method that extracts copyright information from end credits to determine the distribution status of illegal content, demonstrating that analyzing only about 10% of the frames can effectively identify unauthorized content. The proposed method is expected to contribute to the protection of OTT content copyrights by reducing system load and efficiently detecting illegal digital video content even in large-scale environments.

Citation status

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