정보관리연구 (Journal of Information Management)

한국과학기술정보연구원 과학기술정보센터 (Korea Institute of Science and Technology Information)
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시맨틱 검색을 위한 디지털 비디오 라이브러리 구축에 관한 연구

A Study on Digital Video Library Development for Semantic-Sensitive Retrieval

  • 장상현 (한국교육학술정보원 교육정보화센터) ;
  • 임석종 (한국과학기술정보연구원 지식기반팀)
  • Jang, Sang-Hyun (Education Information Center, Korea Education and Research Information Service) ;
  • Lim, Seok-Jong (Knowledge Asset Team, Korea Institute of Science and Technology Information)
  • 발행 : 2006.12.31
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초록

디지털 비디오 압축과 인터넷 기술의 발전으로 비디오에 대한 수요가 폭발적으로 늘어나고 있으며, 사용자 제작 콘텐트(UCC)도 대량으로 생산되고 있다. 따라서, 디지털 비디오 라이브러리 구축과 검색에 대한 기술 연구가 어느 때보다 시급하게 요구되고 있다. 그러나 사용자가 전체 비디오의 일부 내용을 의미기반으로 검색해서 보고 싶은 욕망을 충족시켜주기는 매우 어려운 상황이다. 본고에서는 디지털 비디오를 의미 검색하기 위하여 장면을 뽑아내고, 내용을 분석하는 방법을 제안하고, 5개의 스포츠(축구, 야구, 골프, 농구, 배구) 뉴스 비디오를 자동 분류한 실험 결과를 소개하였다.

With the advancement of internet and video compression technology, there has been an increasing demand for video, and producted a large quantity contents of UCC. Therefore, Semantic-sensitive retrieval and construction for digital video library is more in demand than ever. However, it is extremely difficult to categorize and label scenes in any video automatically for searching wanted scene. This study proposes a method to extract certain scenes and analyze the video content, and shows the experimental results after categorizing 5 sports news(soccer, baseball, golf, basketball, and volleyball).

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