• DocumentCode
    2862723
  • Title

    Modeling annotators to improve semantic annotation and retrieval of images

  • Author

    Lee, Chen-Yu ; Soo, Von-Wun

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2005
  • fDate
    19-22 Sept. 2005
  • Firstpage
    254
  • Lastpage
    257
  • Abstract
    Semantic annotation of images is an important step to support semantic information extraction and retrieval. However, since the behaviors of annotators could influence the performance of a retrieval system, the modeling of annotators must be considered during the annotation especially in multiple-annotator system. This paper devised an annotator model from three different aspects, expertise, trustworthiness, and diligence. And also conducted experiments to evaluate the annotator model; the experiments showed the proposed annotator model improved the annotation and retrieval significantly.
  • Keywords
    image retrieval; information retrieval systems; ontologies (artificial intelligence); semantic Web; user modelling; annotator modeling; image retrieval; information retrieval system; multiple-annotator system; semantic annotation; semantic information extraction; Computer science; Data mining; Humans; Image retrieval; Information retrieval; Intelligent agent; OWL; Ontologies; Semantic Web; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
  • Print_ISBN
    0-7695-2416-8
  • Type

    conf

  • DOI
    10.1109/IAT.2005.101
  • Filename
    1565547