• DocumentCode
    2195389
  • Title

    Geometry preserving image retrieval using normalized scale coding

  • Author

    Vyshali, S. ; Subramanyam, M.V. ; Raajan, K.Soundara

  • Author_Institution
    ECE Dept, G.P.R.Engg college, Kurnool, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the area of image retrieval, shape based coding is a simpler and effective approach of image representation. Among various approaches of image representation for shape defining, curvature based coding is an advanced and quite effective way of image coding. In the approach of image representation using curvature coding, the shape is defined by closed contour. Wherein contours are shape representing approach, they may be very large in representation and hence result in resource overhead. To minimize the resource overhead in image retrieval system, a normalized scale contour coding is proposed. This approach preserves the shape description, with reducing number of feature vectors.
  • Keywords
    Certification; IEEE publications; Image coding; Interviews; Media; Nose; System-on-chip; Image retrieval; Normalized scale coding; geometry preserving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253843
  • Filename
    7253843