The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
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The Abstraction Retrieval System of Cultural Videos using Scene Change Detection

장면전환검출을 이용한 교양비디오 개요 검색 시스템

  • 강오형 (군산대학교 정보전산원) ;
  • 이지현 (군산대학교 컴퓨터정보과학과) ;
  • 이양원 (군산대학교 컴퓨터정보과학과)
  • Published : 2005.12.01
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Abstract

This paper proposes a video model for the implementation of the cultural video database system. We have utilized an efficient scene change detection method that segments cultural video into semantic units for efficient indexing and retrieval of video. Since video has a large volume and needs to be played for a longer time, it implies difficulty of viewing the entire video. To solve this Problem. the cultural video abstraction was made to save the time and widen the choices of video the video abstract is the summarization of scenes, which includes important events produced by setting up the abstraction rule.

본 논문에서는 교양 비디오 데이터베이스 시스템을 구축하기 위한 비디오 모델을 제안한다. 먼저, 교양 비디오의 효율적인 색인화와 검색을 위하여 교양 비디오를 의미 있는 단위로 분할하는 효율적인 장면 전환 검출 기법을 사용하였다 비디오가 대용량이며 장시간의 재생이 필요하다는 특징 때문에 전체 비디오를 시청해야하는 문제점이 있다. 이 문제점을 해결하기 위해 교양 비디오의 개요를 추출하여 시청자들에게 시간을 절약할 수 있고, 비디오 선택의 폭을 넓히도록 하였다. 비디오 개요는 개요 생성 규칙을 설정하여 중요 이벤트가 발생한 장면들을 요약한 형태이다.

Keywords

References

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