• DocumentCode
    671722
  • Title

    A shape descriptor based on symbolic data analysis

  • Author

    De Almeida, Carlos Wilson D. ; de Souza, Renata M. C. R. ; Candeias, Ana Lucia B.

  • Author_Institution
    Center of Inf. (CIn), Fed. Univ. of Pernambuco, Recife, Brazil
  • fYear
    2013
  • fDate
    4-9 Aug. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This article presents a new method for shape description suitable to be used as a solution to the retrieval problem in large image collections. The proposed approach, called Multiscale Symbolic Data Descriptor (MSDD) combines multiscale methods with Symbolic Data Analysis. The contour convexities and concavities at different scale levels are represented using a two-dimensional matrix from which we extract Symbolic Data in order to have a compact and efficient representation of the image in terms of computational resources.
  • Keywords
    data analysis; image retrieval; shape recognition; MSDD; contour concavities; contour convexities; image collections; multiscale symbolic data descriptor; retrieval problem; shape descriptor; symbolic data analysis; two-dimensional matrix; Cascading style sheets; Complexity theory; Data analysis; Data mining; Feature extraction; Shape; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2013 International Joint Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-6128-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2013.6707064
  • Filename
    6707064
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=671722