• DocumentCode
    3355151
  • Title

    Color- and texture-based salient map hierarchy

  • Author

    Paris, Stéphane

  • Author_Institution
    LITA, Paul Verlaine Univ., Metz, France
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2205
  • Lastpage
    2208
  • Abstract
    In content-based image retrieval (CBIR), the extraction of salient maps delivers regions focusing on the predominant objects of the images. This kind of description is aimed to specify the queries and to organize the image database index. This paper proposes a process providing a hierarchy of salient maps. This hierarchy is a multiscale description from fine to coarse maps using an adapted similarity measure based on texture and color specificities.
  • Keywords
    content-based retrieval; feature extraction; image colour analysis; image retrieval; image texture; color-based salient map hierarchy; content-based image retrieval; image database index; salient maps delivers region extraction; texture-based salient map hierarchy; Cleaning; Computer vision; Euclidean distance; Image color analysis; Image segmentation; Pixel; Wavelet analysis; CBIR; color; distance; salient map; texture; vector descriptor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652791
  • Filename
    5652791