• DocumentCode
    3057069
  • Title

    Scene retrieval with color moment invariant

  • Author

    Chen, Xiao ; Li, Jianxun ; Wu, Jiayun

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2010
  • fDate
    28-30 June 2010
  • Firstpage
    540
  • Lastpage
    544
  • Abstract
    In this paper, a novel scene retrieval method has been proposed. Under this framework, homogeneous color regions are detected and then described by color moment invariants. Different from most existing methods, color and spatial information are combined as the uniform descriptor to capture the image property. Moreover, the image descriptor in our method has alterable data structure, whose size is adaptive to the context of the image itself by a two-stage clustering technique. Experimental results show that this method has improved efficiency and robustness of color based image retrieval methods, without the cost of simplicity and compactness.
  • Keywords
    data structures; image colour analysis; image retrieval; color based image retrieval methods; color information; color moment invariant; data structure; homogeneous color regions; image descriptor; scene retrieval method; spatial information; two-stage clustering technique; Automation; Colored noise; Content based retrieval; Data structures; Image retrieval; Information retrieval; Layout; Lighting; Mechanical engineering; Noise robustness; color moment invariant; content based image retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics Automation and Mechatronics (RAM), 2010 IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-6503-3
  • Type

    conf

  • DOI
    10.1109/RAMECH.2010.5513137
  • Filename
    5513137