Automatic Rating and Selection of Digital Photographs

This paper presents methods for automatically rating and selecting digital photographs. The importance of each photograph is estimated by analyzing its content as well as its time-metadata. The presence of people is estimated by combining face and skin detection. Finally, the appeal of each photograph is calculated using a trained SVM classifier. The results of a conducted user study show that the automatically obtained rating coincides well with the perception of the test persons.