Journal of KIISE:Software and Applications (한국정보과학회논문지:소프트웨어및응용)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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CIR-Tree : An Efficient High-Dimentsional Index Structure

CIR-Tree : 효율적인 고차원 색인기법

  • Lee, Seok-Hui (Dept. of Information Communication Engineering, Chungbuk National University) ;
  • Yu, Jae-Su (Dept. of Electrical Elecronic Engineering, Chungbuk National University) ;
  • Jo, Gi-Hyeong (Dept. of Electrical Elecronic Engineering, Chungbuk National University) ;
  • Heo, Dae-Yeong
  • 이석희 (충북대학교 정보통신공학과) ;
  • 유재수 (충북대학교 전기전자공학부) ;
  • 조기형 (충북대학교 전기전자공학부) ;
  • 허대영 (한국전자통신연구원 데이터베이스연구실)
  • Published : 1999.06.01

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Abstract

내용기반 이미지검색을 위한 기존의 색인구조들은 데이터 객체들을 대표하는 특성들이 증가함에 따라 검색시간 또는 공간요구량이 지수 함수적으로 증가하게 되는 문제점이 있다. 본 논문은 내용기반 이미지검색을 위한 기존의 색인구조들을 분석하여 새로운 색인구조가 갖추어야할 요구조건을 제시한 후, 제시된 요구조건들을 만족하는 새로운 색인구조 CIR-트리를 제안한다. 제안된 방법의 우수성을 보이기 위해 실험을 통하여 색인구조들에 관한 성능을 여러 환경에서 비교하고 분석한다. 이를 통해 제안된 CIR-트리가 기존의 색인구조들에 비해 고차원에 적합하면서 검색시간과 저장공간면에서 성능이 우수함을 보인다.

Keywords

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