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
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