OTT 콘텐츠 식별을 위한 엔딩 크레딧 기반 불법 스트리밍 동영상 인식 방법
An Adaptive Information Collection Method for Collect Evidence of OTT Content Illegal Distribution Platform
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초록
본 논문은 OTT 플랫폼의 확산에 따라 급증하는 불법 디지털 영상 콘텐츠 유통 문제를 해결하기 위해 엔딩 크레딧 기반 불법 스트리밍 영상 인식 방법을 제안한다. 기존의 불법 콘텐츠 식별 방법은 영상 전체의 특징 정보를 비교하는 방식으로, 대용량 콘텐츠나 실시간 스트리밍 환경에서 인식 속도가 저하되는 한계가 있었다. 본 연구는 엔딩 크레딧에서 저작권 정보를 추출하여 불법 콘텐츠 유통 여부를 판별하는 방법을 제시함으로써, 약 10%의 프레임만을 분석하여 효율적으로 불법 콘텐츠를 식별할 수 있음을 확인하였다. 제안하는방법을 이용하여 시스템 부하를 줄이며 대용량 콘텐츠 환경에서도 효과적으로 불법 디지털 영상 콘텐츠를 식별하여 OTT 콘텐츠 저작권 보호에 기여할 수 있을 것으로 기대한다.
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.
참고문헌 (9)
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