• DocumentCode
    3241067
  • Title

    Content-Based Image Retrieval using combined features and weighted similarity

  • Author

    El-Kholy, Ahmed Hosny ; Abdel-Haleim, Ahmed Mahmoud ; Hedar, Abdel-Rahman

  • Author_Institution
    Dept. of Comput. Sci., Assiut Univ., Assiut, Egypt
  • fYear
    2010
  • fDate
    2-4 Nov. 2010
  • Firstpage
    645
  • Lastpage
    649
  • Abstract
    The process of retrieving desired images from a large collection of images on the web pages on the basis of features is referred as Content Based Image Retrieval (CBIR) Search Engine. In this paper, a new CBIR search engine is proposed using combined of two features and weighted similarity. Some experimental simulations have been presented to show the efficiency of the proposed search engine.
  • Keywords
    Internet; content-based retrieval; image retrieval; search engines; Web pages; content based image retrieval; search engine; Clocks; Crawlers; CBIR; Clustering; Image Search; Search Engine; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Technology and Development (ICCTD), 2010 2nd International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8844-5
  • Electronic_ISBN
    978-1-4244-8845-2
  • Type

    conf

  • DOI
    10.1109/ICCTD.2010.5645979
  • Filename
    5645979
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3241067