Translating Journalists' Requirements into Features for Image Search

被引:5
|
作者
Stoettinger, Julian [1 ]
Banova, Jana [1 ]
Poenitz, Thomas [1 ]
Sebe, Nicu [2 ]
Hanbury, Allan [3 ]
机构
[1] Vienna Univ Technol, PRIP Grp, Inst Comp Aided Automat, A-1040 Vienna, Austria
[2] Univ Trent, Fac Sci Cognitive, I-38122 Trento, Italy
[3] Palais Eschenbach, IR Facil, Vienna 1010, Austria
关键词
D O I
10.1109/VSMM.2009.28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:149 / +
页数:2
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