Boosting Saliency in Color Image Features

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 ...

• Type: Conference
• Year: 2005
• Where: CVPR
• Authors: Joost van de Weijer, Theo Gevers
• Keywords: Color Image Derivatives, Color Saliency Boosting, Color Salient Features, Computer Vision, CVPR 2005, Isosalient Color Derivatives, Paper Color Distinctiveness