Color features for dating historical color images
Estimating the age of historical photographs is a challenging task for human beings. Only recently this task has been addressed in computational image analysis perspective. The characteristics of the device used to acquire each photograph are discriminative features for this task. We aim at extracting such characteristics from a historical color photographs. The acquisition device mainly effects two properties of the colors: the distribution of their derivatives and the angles drawn by three consecutive pixels in the RGB space. We propose two color features that take advantage of these observations. We show that these two color descriptors (namely color derivatives and color angles) attain the state-of-the-art in the context of image dating.