• DocumentCode
    419703
  • Title

    Retrieval method for multi-category images

  • Author

    Tanaka, Hiroyuki ; Sakano, Hitoshi ; Ohtsuka, Sakuichi

  • Author_Institution
    Res. & Dev. Headquarters, NTT Data Corp., Tokyo, Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    965
  • Abstract
    We propose an image retrieval technique based on multiple categories. Generally, an image can be associated with many concepts or objects. When concepts or objects are regarded as categories, an image could have multiple labels corresponding to these categories. Thus, image retrieval based on multiple categories would be an important technology for an image database system. To realize multicategory image retrieval, we employ the PMM (parametric mixture model) of multi-category text classification. We carried out multi-category image classification experiments using PMM and the color histogram feature. The experimental results show the possibility of multi-category image classification and retrieval using PMM.
  • Keywords
    image classification; image retrieval; visual databases; color histogram feature; image database system; image retrieval technique; multicategory image classification; multicategory images; multicategory text classification; parametric mixture model; Artificial intelligence; Frequency; Histograms; Image classification; Image databases; Image retrieval; Information retrieval; Research and development; Text categorization; Text processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334419
  • Filename
    1334419