Additive texture information extraction using color coherence vector

  • Authors:

  • Ki-Hyun Kang;Yong-In Yoon;Jong-Soo Choi;Jin-Tae Kim;Hasung Koo;Jong-Ho Choi

  • Affiliations:

  • Dept. of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Korea;Dept. of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Korea;Dept. of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Korea;Dept. of Computer & Information Science, Hanseo University, Korea;Dept. of Computer & Information Science, Hanseo University, Korea;Dept. of Electronics Engineering, Kangnam University, Korea

  • Venue:
  • MUSP'07 Proceedings of the 7th WSEAS International Conference on Multimedia Systems & Signal Processing
  • Year:
  • 2007

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Abstract

Color histogram methods are used to so many Content-based image retrieval systems. They are simple, fast and generally insensitive to small changes in camera position. But this approach has a drawback that it does not use spatial information. Color coherence vector method includes not only spatial information that consist of coherent and incoherent vectors, but also shows superior performance to retrieve relevant images. In this paper presents modified color coherence vector. Extracting spatial information by our method is similar to conventional color coherence vector. However it makes additive texture information. Thus proposed method uses spatial information and additive texture information to retrieve relevant images from database. The experimental result showed that proposed method using additive texture information is more effective than conventional method.