Feature Extraction for Content-Based Image Retrieval
Feature extraction for content-based image retrieval is the process of automatically computing a compact representation (numerical or alphanumerical) of some attribute of digital images, to be used to derive information about the image contents. It can be seen as a case of dimensionality reduction. A feature, or attribute, can be related to a visual characteristic, but it may also be related to an interpretative response to an image or to a spatial, symbolic, semantic, or emotional characteristic. A feature may relate to a single attribute or be a composite representation of different attributes. Features can be classified as general purpose or domain-dependent. The general purpose features can be used in any context, while the domain-dependent features are designed specifically for a given application. Every feature is intimately tied with the kind of information that it captures. The choice of a particular feature over another depends on the given...
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