• DocumentCode
    3584375
  • Title

    Experiment with reduced feature vector in CBIR system with relevance feedback

  • Author

    Zajiae, G. ; Kojiae, N. ; Reljin, N. ; Reljin, Branimir

  • Author_Institution
    ICT College, 11000 Belgrade, Zdravka ??elara 16, Serbia, Yugoslavia
  • fYear
    2008
  • Firstpage
    176
  • Lastpage
    181
  • Abstract
    A CBIR system with relevance feedback is described. System uses feature vectors (FVs) with only 24 components describing color, line directions and texture. The reduction of FV dimension is based on the statistics of global image features. The proposed system was tested over Corel 1K dataset and results are compared to some other CBIR systems with or without FV reduction.
  • Keywords
    Low-level image features; feature vector reduction; image retrieval; relevance feedback;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Visual Information Engineering, 2008. VIE 2008. 5th International Conference on
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-914-0
  • Type

    conf

  • Filename
    4743412
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3584375