• DocumentCode
    2169951
  • Title

    Image Query Based Search Engine Using Image Content Retrieval

  • Author

    Ragatha, D.V. ; Yadav, Divakar

  • Author_Institution
    Jaypee Inst. of Inf. Technol., Noida, India
  • fYear
    2012
  • fDate
    28-30 March 2012
  • Firstpage
    283
  • Lastpage
    286
  • Abstract
    In this paper we put forward a model for a search engine where an image can be uploaded from the local database of the user to retrieve information about it from the internet. This is similar to the traditional keyword search used by most of the search engines with the only difference being that here an image is uploaded as a query rather than textual keywords. The fact that the image being used as query makes the search ever more complicated as the content of the image needs to be analysed and matched to find the information corresponding to the uploaded image. This is most apt for searching information about images of historical monuments, places or any specific place or thing that is identifiable.
  • Keywords
    Internet; content-based retrieval; image retrieval; search engines; visual databases; Internet; historical monuments; image content retrieval; image query based search engine; information retrieval; local database; traditional keyword search; CCV matrix; Change detection; Content Based Image Retreival; Feature Detection; Sobel Edge Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4673-1366-7
  • Type

    conf

  • DOI
    10.1109/UKSim.2012.48
  • Filename
    6205462