• DocumentCode
    1923937
  • Title

    An efficient image retrieval using central tendency

  • Author

    Malini, R. ; Vasanthanayaki, C.

  • Author_Institution
    Department of Electronics and Communication Engineering Government College of Technology Coimbatore, India
  • fYear
    2013
  • fDate
    21-22 Feb. 2013
  • Firstpage
    61
  • Lastpage
    67
  • Abstract
    This paper aims to improve the effectiveness of retrieving images on the basis of color content. The paper is organized as follows. Firstly, a mean based technique with reduced feature vector is proposed. Secondly, a new idea to extract the features of an image based on the measure of central tendency is proposed. The proposed mean based technique is compared with existing color averaging techniques for retrieval speed and memory requirement. Finally the proposed mean based technique is compared with the measures of central tendency for retrieval efficiency. The proposed CBIR techniques are tested on generic image database and indexed image database. Experimental results shows that proposed method based on the measures of central tendency gives better performance in terms of higher precision and recall values with less computational complexity.
  • Keywords
    IEEE Xplore; Portable document format; euclidean distance; maximum; mean; median; minimum; mode; precision; recall;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on
  • Conference_Location
    Salem
  • Print_ISBN
    978-1-4673-5843-9
  • Type

    conf

  • DOI
    10.1109/ICPRIME.2013.6496448
  • Filename
    6496448