content matching (depiction of the same objects or similar iconographic representations) or correspondences that are
more related to style such as brushstrokes, color, composition, etc. The application of CNNs has shown promising results
in retrieving visually linked images in painting collections [108, 111, 17, 16]. To tackle the complexity of similarity in
art, Mao et al. [87] proposed the DeepArt retrieval system that encodes joint representations that can simultaneously
capture content and style features. A more detailed discussion of the problem of similarity and applications of computer
vision methods for the organization and study of art image collections is given in [79].
UNDERSTANDINGANDCREATINGARTWITHAI-REVIEWAND OUTLOOK