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• W2076371998 abstract "We present here the results obtained by including a new image descriptor, that we called prosemantic featurevector, within the framework of QuickLook2 image retrieval system. By coupling the prosemantic features andthe relevance feedback mechanism provided by QuickLook2, the user can move in a more rapid and precise waythrough the feature space toward the intended goal. The prosemantic features are obtained by a two-step featureextraction process. At the first step, low level features related to image structure and color distribution areextracted from the images. At the second step, these features are used as input to a bank of classifiers, eachone trained to recognize a given semantic category, to produce score vectors. We evaluated the efficacy of theprosemantic features under search tasks on a dataset provided by Fratelli Alinari Photo Archive." @default.
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• W2076371998 date "2012-02-01" @default.
• W2076371998 modified "2023-09-23" @default.
• W2076371998 title "Searching through photographic databases with QuickLook" @default.
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• W2076371998 doi "https://doi.org/10.1117/12.911976" @default.
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