• DocumentCode
    2205451
  • Title

    Translating Journalists´ Requirements into Features for Image Search

  • Author

    Stöttinger, Julian ; Banova, Jana ; Pönitz, Thomas ; Sebe, Nicu ; Hanbury, Allan

  • Author_Institution
    Inst. of Comput.-Aided Autom., Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2009
  • fDate
    9-12 Sept. 2009
  • Firstpage
    149
  • Lastpage
    153
  • Abstract
    This paper illustrates how taking advantage of user studies highlighting the user requirements can lead to the selection of suitable visual features in image search systems. The results of a study to identify pertinent visual features to enhance a text-based press photo search system used by journalists are presented. A requirement was that the visual features should be intuitively understandable by the journalists. This feature selection task is approached by first determining the journalists´ photo searching requirements based on a published user study. These requirements are then mapped to suitable visual features. The emphasis was on identifying suitable and intuitive low-level features, as these can be rapidly implemented in the existing text-based image search system. Results demonstrating the use of the selected features are shown.
  • Keywords
    image retrieval; text analysis; feature selection; image search; journalist requirements; text-based press photo search system; visual features; Animals; Automation; Cities and towns; Concrete; Databases; Image analysis; Multimedia systems; Optical computing; Paper technology; Vehicles; Color; Features; Image Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Systems and Multimedia, 2009. VSMM '09. 15th International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3790-0
  • Type

    conf

  • DOI
    10.1109/VSMM.2009.28
  • Filename
    5306018