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Video summarization with adjustable ratio of highlights and story

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.17 No.4 (2025.11)바로가기
  • 페이지
    pp.53-66
  • 저자
    Eunbi Kim, Ahrin Jun, Danbi Yoon, Kitae Hwang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486463

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원문정보

초록

영어
Most current video summarization techniques focus on converting long videos into short summary clips by detecting semantically important parts of the original video. However, many summarization applications, such as personal summaries of weddings, travel videos, movie trailers, or short summaries for search, require summaries that include the entire content of the original video, not just the important parts. This paper proposes a technique for generating summary videos by combining highlight scenes representing important parts of the video with story-conveying scenes capturing the overall flow of the video. To achieve this objective, we introduce the concept of 'diversity contribution,' which numerically quantifies how much each individual scene contributes to creating a diverse scene composition in the summary video. The higher the proportion of scenes with high diversity contribution values, the more comprehensively the summary video incorporates the entire content of the original video. In this study, we developed an algorithm to create a summary video by adjusting the diversity contribution and importance of scenes in proportion, and verified its operation by implementing an actual summary application system. Furthermore, we confirmed through experiments that the accuracy of the summary technique presented in this paper was over 90%.

목차

Abstract
1. Introduction
2. Related Works
3. Proposed Approach
3.1 Overview
3.2 Step1: Calculating the importance score for each segment
3.3 Step2: Calculating the fitness score of each segment
3.4 Step3: Segment resizing for uninterrupted voice
4. Evaluation
4.1 Overview
4.2 Evaluation Result
4.3 Discussions and future works
5. Conclusion
Acknowledgement
References

키워드

Video Summarization Video Highlight Video Story

저자

  • Eunbi Kim [ Undergraduate Student, School of Computer Engineering, Hansung University, Korea ]
  • Ahrin Jun [ Undergraduate Student, School of Computer Engineering, Hansung University, Korea ]
  • Danbi Yoon [ Undergraduate Student, School of Computer Engineering, Hansung University, Korea ]
  • Kitae Hwang [ Professor, School of Computer Engineering, Hansung University, Korea ] 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
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.17 No.4

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