Design of Block-based Image Descriptor using Local Color and Texture

지역 칼라와 질감을 활용한 블록 기반 영상 검색 기술자 설계

  • Park, Sung-Hyun (Department of Applied Computer Engineering, Dankook University) ;
  • Lee, Yong-Hwan (Department of Applied Computer Engineering, Dankook University) ;
  • Kim, Youngseop (Department of Electronic Engineering, Dankook University)
  • 박성현 (단국대학교 응용컴퓨터공학과) ;
  • 이용환 (단국대학교 응용컴퓨터공학과) ;
  • 김영섭 (단국대학교 전자공학과)
  • Received : 2013.11.15
  • Accepted : 2013.12.16
  • Published : 2013.12.31


Image retrieval is one of the most exciting and fastest growing research fields in the area of multimedia technology. As the amount of digital contents continues to grow users are experiencing increasing difficulty in finding specific images in their image libraries. This paper proposes an efficient image descriptor which uses a local color and texture in the non-overlapped block images. To evaluate the performance of the proposed method, we assessed the retrieval efficiency in terms of ANMRR with common image dataset. The experimental trials revealed that the proposed algorithm exhibited a significant improvement in ANMRR, compared to Dominant Color Descriptor and Edge Histogram Descriptor.



Supported by : 한국콘텐츠진흥원


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