• DocumentCode
    3226951
  • Title

    Image Retrieval Using Multimodal Keywords

  • Author

    Agrawal, Rajeev ; Grosky, William ; Fotouhi, Farshad

  • Author_Institution
    Kettering Univ., Flint, MI
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    817
  • Lastpage
    822
  • Abstract
    In this paper, we propose a technique to retrieve the images using the ´search by similarity´ method with the help of multimodal keywords. Multimodal keywords consist of low-level MPEG-7 color descriptors and textual keywords. The visual keywords and textual keywords are combined together and the image collection is represented as a matrix, which is similar in representation to a term-document matrix. Using LSI (latent semantic indexing), we demonstrate that the visual keywords, when combined with textual keywords can improve the retrieval results to a great degree
  • Keywords
    data compression; image colour analysis; image representation; image retrieval; image texture; indexing; LSI; MPEG-7 color descriptor; image retrieval; latent semantic indexing; multimodal keywords; search-by-similarity method; term-document matrix represention; textual keywords; visual keywords; Content based retrieval; Histograms; Image retrieval; Image storage; MPEG 7 Standard; Matrix decomposition; Multimedia databases; Pixel; Streaming media; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2006. ISM'06. Eighth IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7695-2746-9
  • Type

    conf

  • DOI
    10.1109/ISM.2006.91
  • Filename
    4061265