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ICMCS
2000
IEEE

Color Based Retrieval and Recognition

8 years 10 months ago
Color Based Retrieval and Recognition
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 showed 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 implemented and tested several promising algorithms from the research literature as benchmarks.
Nicu Sebe, Michael S. Lew
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICMCS
Authors Nicu Sebe, Michael S. Lew
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