Earticle

초록

영어

Since video is composed of unstructured data with massive storage and linear forms, it is essential to conduct various research studies to provide the required contents for users who are accustomed to dealing with standardized data such as documents and images. Previous studies have shown the occurrence of undetected and false detected shots. This thesis suggested shot verification and video retrieval system using visual rhythm to reduce these kinds of errors. First, the system suggested in this paper is designed to detect the parts easily and quickly, which are assumed as shot boundaries, just by changing the visual rhythm without playing the image. Therefore, this enables to delete the false detected shot and to generate the unidentified shot and key frame. The following are the summaries of the research results of this study. Second, during the retrieving process, a thumbnail and keyword method of inquiry is possible and the user is able to put some more priorities on one part than the other between the color and shape. As a result, the corresponding shot or scene is displayed. However, in the case of not finding the preferred shot, the key picture frame of similar shot is supplied and can be used in the further inquiry of the next scene.

목차

ABSTRACT
 1. 서론
  1.1 연구 배경 및 목적
 2. 관련 연구
  2.1 텍스트 기반 검색
  2.2 내용 기반 검색
  2.3 동영상 검색
 3. 비디오 샷 검증 시스템
  3.1 시스템 구성도
  3.2 비쥬얼 리듬에 의한 샷 검출과 검증
 4. 실험 및 평가
  4.1 실험
  4.2 성능평가
  4.3 기존 동영상 검색 시스템과의 비교
 5. 결론
 참고문헌

키워드

저자

• 정지문 [ Ji-Moon Chung | 남서울대학교 컴퓨터학과 교수 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  디지털융복합연구 [Journal of Digital Convergence]

• 간기

  계간

• pISSN

  2713-6434

• eISSN

  2713-6442

• 수록기간

  2003~2026

• 등재여부

  KCI 등재후보

• 십진분류

  KDC 569 DDC 620