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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Borowski, M. Brocker, L. Heisterkamp, S. Loffler, J. |
| Copyright Year | 2000 |
| Description | Author affiliation: German Nat. Res. Center for Comput. Sci., St. Augustin, Germany (Borowski, M.) |
| Abstract | We describe the benefits of CBIR (content-based image retrieval) systems for retrieval and organization of visual content in databases of digital libraries. Unlike text-based retrieval systems which work with manually annotated keywords as metadata, CBIR systems use automatically extracted numerical representations of perceptual features such as color, texture or shape. This technique enables users of digital libraries to retrieve visual content without the help of textual metadata, which in some cases may be either nonexistent or not sufficient for a special purpose. It is our approach to support maintainers of digital libraries in organizing large image volumes using CBIR systems. Finding clusters of similar content or providing clusters with suitable keywords are new application contexts of CBIR. We propose a method for structuring visual content and evaluate retrieval results of CBIR systems with regard to their applicability to this method. |
| Starting Page | 288 |
| Ending Page | 293 |
| File Size | 674167 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769507433 |
| ISSN | 10939547 |
| DOI | 10.1109/IV.2000.859770 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-07-19 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software libraries Image retrieval Content based retrieval Image databases Information retrieval Spatial databases Visual databases Shape Histograms Data mining |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Vision and Pattern Recognition Software |
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