이미지 검색을 위한 칼라 분포 기술자의 성능 평가

An Empirical Evaluation of Color Distribution Descriptor for Image Search

  • 이춘상 (단국대학교 전자컴퓨터공학과) ;
  • 이요환 (단국대학교 전자컴퓨터공학과) ;
  • 김영섭 (단국대학교 전자컴퓨터학부) ;
  • 이상범 (단국대학교 전자컴퓨터공학과)
  • Lee, Choon-Sang (Dept. of Electronics and Computer Engineering, Dankook Univ.) ;
  • Lee, Yong-Hwan (Dept. of Electronics and Computer Engineering, Dankook Univ.) ;
  • Kim, Young-Seop (Dept. of Electronics and Computer Science, Dankook Univ.) ;
  • Rhee, Sang-Burm (Dept. of Electronics and Computer Engineering, Dankook Univ.)
  • 발행 : 2006.06.30

초록

As more and more digital images are made by various applications, image retrieval becomes a primary concern in technology of multimedia. This paper presents color based descriptor that uses information of color distribution in color images which is the most basic element for image search and performance of proposed visual feature is evaluated through the simulation. In designing the image search descriptor used color histogram, HSV, Daubechies 9/7 and 2 level wavelet decomposition provide better results than other parameters in terms of computational time and performances. Also histogram quadratic matrix outperforms the sum of absolute difference in similarity measurements, but spends more than 60 computational times.

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