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Evaluating Color Descriptors for Object and Scene Recognition (2010)

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by Koen E. A. van de Sande, Theo Gevers , Cees G. M. Snoek
Citations:423 - 33 self
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BibTeX

@MISC{Sande10evaluatingcolor,
    author = {Koen E. A. van de Sande and Theo Gevers and Cees G. M. Snoek},
    title = {Evaluating Color Descriptors for Object and Scene Recognition},
    year = {2010}
}

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Abstract

Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used for feature extraction at salient points. To increase illumination invariance and discriminative power, color descriptors have been proposed. Because many different descriptors exist, a structured overview is required of color invariant descriptors in the context of image category recognition. Therefore, this paper studies the invariance properties and the distinctiveness of color descriptors (software to compute the color descriptors from this paper is available from

Keyphrases

color descriptor    scene recognition    image category recognition    color invariant descriptor    salient point    discriminative power    scene type    feature extraction    illumination invariance    invariance property    many different descriptor    intensity-based descriptor    access visual information    paper study    structured overview   

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