• DocumentCode
    1943397
  • Title

    A novel approach using T.H.E.S methodology for CBIR

  • Author

    Shriram, K.V. ; Priyadarsini, P.L.K. ; Gokul, M. ; Subashri, V. ; Sivaraman, R.

  • Author_Institution
    PRIST Univ., Thanjavur, India
  • fYear
    2013
  • fDate
    7-8 Feb. 2013
  • Firstpage
    10
  • Lastpage
    13
  • Abstract
    A search engine is expected to extract results with the high end accuracy .The basic motto behind the image search engines are no different. It should retrieve the best possible match from the database for the query made. But, the accessible search engines are based on the keywords only. In order to overcome the inefficiencies in this approach, we are proposing a search based on CBIR (content based image retrieval). This paper discusses, in depth, about the methodologies to construct an efficient CBIR and also presents a novel approach which performs with increased efficiency in many aspects. We have used OpenCV, an image processing toolbox for implementing and testing our concepts.
  • Keywords
    content-based retrieval; image retrieval; search engines; CBIR; OpenCV; T.H.E.S methodology; content based image retrieval; image processing toolbox; image search engines; Entropy; Histograms; Image color analysis; CBIR; GLCM; Image search; Region of interest; SURF; descriptor; detector; histogram; interest points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Image Processing & Pattern Recognition (ICSIPR), 2013 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4673-4861-4
  • Type

    conf

  • DOI
    10.1109/ICSIPR.2013.6497781
  • Filename
    6497781