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A Study on the Application of AI-Based Video Editing in Broadcasting : Focusing on TV Programs

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 14 Number 3 (2025.09)바로가기
  • 페이지
    pp.285-297
  • 저자
    Kyunghee KIM, Jaehyun LEE, Soonchul KWON, Seunghyun LEE
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A474335

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원문정보

초록

영어
This study aims to examine how Artificial Intelligence (AI) can be practically applied to post-production in broadcasting and to evaluate its implications for future content creation. To this end, it focuses on the case of Earth Sweepers, a 2024 MBC reality variety program recognized as the first terrestrial TV show in Korea to adopt AI-based editing and de-identification under outdoor filming conditions. The research method involved analyzing the integration of two key technologies: automatic editing developed by the Electronics and Telecommunications Research Institute (ETRI) and de-identification technology developed by the Korea Electronics Technology Institute (KETI). Both tools were implemented as plug-ins for Adobe Premiere Pro to ensure seamless use within established editing workflows. The results revealed that AI significantly reduced production time—overall editing was shortened by approximately 35–40%, and de-identification achieved over 90% accuracy while cutting costs by more than 20 million KRW per episode. AI-assisted editing also improved multicamera alignment, scene segmentation, and highlight extraction, while de-identification enhanced both visual quality and compliance with regulatory requirements. The findings highlight the potential of human-AI collaboration in broadcasting and underscore the importance of establishing standardization, professional training, and institutional support to ensure sustainable adoption. This research provides valuable insights for guiding innovation and shaping the future ecosystem of AI broadcasting.

목차

Abstract
1. Introduction
2. Background Theory
2.1 AI-Based Post-Production
3. Case Studies of AI Technology in Broadcast Production
3.1 AI Auto Editing Technology
3.2 AI-Based Compositing Technology
4. Experimental Results and Discussion: MBC’s “Earth Sweepers”
4.1 Experiment Overview
4.2 Results and Discussion
4. Discussion
5. Conclusion
Acknowledgement
References

키워드

Artificial Intelligence Broadcast Production Post-Production Automatic Editing De-identification

저자

  • Kyunghee KIM [ Ph.D. Candidate, Department of Immersive Convergence Content, Kwangwoon University ]
  • Jaehyun LEE [ Postdoctoral researcher, Department of Immersive Convergence Content, Kwangwoon University ]
  • Soonchul KWON [ Associate Professor, Department of Immersive Convergence Content, Kwangwoon University ]
  • Seunghyun LEE [ Professor, Department of Immersive Convergence Content, Kwangwoon University ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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