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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stottinger, J. Banova, J. Ponitz, T. Sebe, N. Hanbury, A. |
| Copyright Year | 2009 |
| 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. |
| Starting Page | 149 |
| Ending Page | 153 |
| File Size | 1578145 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769537900 |
| DOI | 10.1109/VSMM.2009.28 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-09 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Multimedia systems Optical computing Automation Paper technology Image analysis Concrete Animals Vehicles Cities and towns Color Image Search Features |
| Content Type | Text |
| Resource Type | Article |
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