labelling category is named *genre*. The second trend is purely technical and it deals with the development of the Deep Neural Networks, that allowed classification performances that were not imagined before. In this work, we will use the more popular Convolutional Neural Networks (CNN) to recognize the painting genre.

Let us, now, to establish the meaning of genre the relation with scene and with the image subject. A list of definitions for various paintings genres is presented in Table \[Tab:Genre\_Explain\]. To label a painting into a specific genre, in most of the cases, a user has to identify the subject of that painting. The exceptions are “Abstract Art”, “Design”, “Illustration” and “Sketch and Study”, where the main characteristic is related to the depiction mode. In this majority of cases, subject is related to the scene represented in the work of art. The term “genre” is typical for art domain, and is a more general, including, concept than mere “subject” or ”scene type”. In this work, while referring to paintings, we will use all three with the same meaning of ”genre”. In comparison, for a non-artistic photograph, as there is no artistic intervention in the depiction mode, the subject is more 