• DocumentCode
    2784500
  • Title

    Implementation of FII-based Image Retrieval Engine

  • Author

    Hao, Tan ; Yu, Chen ; Hang, Qiu

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2009
  • fDate
    23-25 Oct. 2009
  • Firstpage
    349
  • Lastpage
    351
  • Abstract
    An Image Feature Inverted Indexing(FII) method is proposed. Based on this method, a prototype of Content-Based Image Retrieval Engine named Eva is implemented. It extracts shape and texture feature from user´s pictures, retrieves similar pictures with FII method. The efficiency of FII is also analyzed.
  • Keywords
    content-based retrieval; feature extraction; image retrieval; indexing; Eva; FII method; content based image retrieval engine; image feature inverted indexing method; shape and texture feature extraction; shape extraction; Content based retrieval; Data mining; Feature extraction; Image retrieval; Indexing; Information retrieval; Internet; Prototypes; Search engines; Shape; Feature inverted indexing; Image retrieval engine; Shape and texture feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5204-0
  • Electronic_ISBN
    978-1-4244-5206-4
  • Type

    conf

  • DOI
    10.1109/ICACIA.2009.5361084
  • Filename
    5361084