• DocumentCode
    3385431
  • Title

    Key technique research of image retrieval based on combination feature

  • Author

    Yang Yanping ; Wang Lei

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Hebei Normal Univ. of Sci. & Technol., Qinghuangdao, China
  • Volume
    2
  • fYear
    2009
  • fDate
    28-29 Nov. 2009
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    In this paper, we introduce the generalization of feature-based image retrieval, the technology of semantic query and how to use CBIR on web. It research the different methods retrieval the image, including color-shape feature (CS) and color-texture-shape (CTS) feature. Through contrasting CS, CST we found CS and CST enhanced effectively and decreased the storage space and calculation. On the base of the color, texture and shape features, the technology of semantic query is proposed in this paper. The query not only reflect the low-layer physical property of image, but also joined with the high-layer semantic property of image. The retrieval performance is improved efficiently.
  • Keywords
    Internet; content-based retrieval; image colour analysis; image retrieval; image texture; CBIR; World Wide Web; color-shape feature; color-texture-shape feature; combination feature; feature based image retrieval; semantic query; Computer science; Content based retrieval; Histograms; Image databases; Image retrieval; Information retrieval; Multimedia databases; Quantization; Shape; Space technology; Morphology; image database; semantic query;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4606-3
  • Type

    conf

  • DOI
    10.1109/PACIIA.2009.5406539
  • Filename
    5406539