Boosting Saliency in Color Image Features

Abstract : The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus on the shape saliency of the local neighborhood. The majority of these detectors is luminance based which has the disadvantage that the distinctiveness of the local color information is completely ignored. To fully exploit the possibilities of color image salient point detection, color distinctiveness should be taken into account next to shape distinctiveness. In this paper color distinctiveness is explicitly incorporated into the design of saliency detection. The algorithm, called color saliency boosting, is based on an analysis of the statistics of color image derivatives. Isosalient color derivatives can be closely approximated by ellipsoidal surfaces in color derivative space. Based on this remarkable statistical finding, isosalient derivatives are transformed by color boosting to have equal impact on the saliency. Color saliency boosting is designed as a generic method easily adaptable to existing feature detectors. Results show that substantial improvements in information content are acquired by targeting color salient features. Further, the generality of the method is illustrated by applying color boosting to multiple existing saliency methods.
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Communication dans un congrès
Cordelia Schmid and Stefano Soatto and Carlo Tomasi. IEEE Conference on Computer Vision & Pattern Recognition (CVPR '05), Jun 2005, San Diego, United States. IEEE Computer Society, 1, pp.365--372, 2005, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1467291〉. 〈10.1109/CVPR.2005.93〉
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Soumis le : lundi 20 décembre 2010 - 09:07:16
Dernière modification le : mardi 11 janvier 2011 - 14:04:17

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Joost Van de Weijer, Theo Gevers. Boosting Saliency in Color Image Features. Cordelia Schmid and Stefano Soatto and Carlo Tomasi. IEEE Conference on Computer Vision & Pattern Recognition (CVPR '05), Jun 2005, San Diego, United States. IEEE Computer Society, 1, pp.365--372, 2005, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1467291〉. 〈10.1109/CVPR.2005.93〉. 〈inria-00548504〉

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