• DocumentCode
    2930288
  • Title

    Application of the Image Retrieval Technique on the Education Resources Image Database

  • Author

    Peng, Geng ; Tongming, Wang ; Weina, Wu

  • Author_Institution
    Center of Educ. Technol., Shijiazhuang Railway Inst., Shijiazhuang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    152
  • Lastpage
    154
  • Abstract
    The education resources are massive, complicated and heterogeneous. The system structure of image retrieval techniques from the education resources image database is designed to rapidly and effectively retrieve the image from the database. Firstly, the TBIR method is used to retrieve the image from the database. Secondly the CBIR method is used to retrieve the image from the result of the TBIR method. Moreover, the three key technologies, the image segmentation, the feature extraction and the similarity measurement, is researched and comprehensively used to retrieve the image.
  • Keywords
    content-based retrieval; feature extraction; image retrieval; image segmentation; visual databases; content-based image retrieval; education resources image database; feature extraction; image segmentation; text-based image retrieval; Content based retrieval; Educational technology; Feature extraction; Image coding; Image databases; Image retrieval; Image segmentation; Information retrieval; Internet; Spatial databases; education resources; feature extraction; image retrieval; image segmentation; similarity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.45
  • Filename
    5370171