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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Optimal Factor Analysis and Applications to Content-Based Image Retrieval
verfasst von : Yuhua Zhu, Washington Mio, Xiuwen Liu
Erschienen in: Computer Vision and Computer Graphics. Theory and Applications
Verlag: Springer Berlin Heidelberg
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We formulate and develop computational strategies for
Optimal Factor Analysis
(OFA), 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.