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
Link To Document :
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