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Optimal factor analysis and applications to content-based image retrieval. (English) Zbl 1181.68141

Braz, José (ed.) et al., Computer vision and computer graphics. Theory and applications. International conference VISIGRAPP 2007, Barcelona, Spain, March 8–11, 2007. Revised selected papers. Berlin: Springer (ISBN 978-3-540-89681-4/pbk; 978-3-540-89682-1/ebook). Communications in Computer and Information Science 21, 164-176 (2008).
Summary: We formulate and develop computational strategies for optimal factor analysis, a linear dimension reduction technique designed to learn low-dimensional representations that optimize discrimination based on the nearest-neighbor classifier. The methods are applied to content-based image categorization and retrieval using a representation of images by histograms of their spectral components. Various experiments are carried out and the results are compared to those that have been previously reported for some other image retrieval systems.
For the entire collection see [Zbl 1154.68004].

MSC:

68P20 Information storage and retrieval of data
68T10 Pattern recognition, speech recognition
68U10 Computing methodologies for image processing
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References:

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