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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sebe, N. Lew, M.S. |
| Copyright Year | 2000 |
| Description | Author affiliation: Leiden Inst. of Adv. Comput. Sci., Netherlands (Sebe, N.) |
| Abstract | In content based retrieval, color indexing is one of the most prevalent retrieval methods. Two key problems in color indexing are: (1) determination of the color space, and (2) finding the best distance measure. Most of the attention from the research literature has been focussed on the color model with little or no consideration of the noise models. By focusing on the noise model, we show how to find a distance measure which is optimal in the sense that it maximizes the similarity probability. Our results include experiments in color based retrieval and object recognition. Furthermore, we implement and test several promising algorithms from the research literature as benchmarks. |
| Starting Page | 311 |
| Ending Page | 314 |
| File Size | 435501 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780365364 |
| DOI | 10.1109/ICME.2000.869603 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-07-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Colored noise Histograms Content based retrieval Image retrieval Image databases Indexing Noise measurement Testing Information retrieval Spatial databases |
| Content Type | Text |
| Resource Type | Article |
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