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