• DocumentCode
    458986
  • Title

    On Evaluation of Image Auto-Annotation Methods

  • Author

    Kwasnicka, Halina ; Paradowski, Mariusz

  • Author_Institution
    Paradowski, M Inst. of Appl. Informatics, Wroclaw Univ. of Technol.
  • Volume
    2
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    353
  • Lastpage
    358
  • Abstract
    Image auto-annotation problem grows more and more popular among the literature. There are many approaches presented, but also many ways to measure the quality of those methods. This paper discusses various quality measures for the image auto-annotation problem. We focus on comparing them and discussing their important features. Experiments and achieved results are presented for a number of auto-annotation methods
  • Keywords
    image classification; Mori coocurence model; image auto-annotation; quality measurement; Arithmetic; Computer science; Dictionaries; Equations; Image generation; Informatics; Intelligent systems; Machine learning; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    0-7695-2528-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2006.253861
  • Filename
    4021688
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=458986