  Researchers try to model the aesthetic quality of photographs into low and
high- level features, drawing inspiration from art theory, psychology and
marketing. We attempt to describe every feature extraction measure employed in
the above process. The contribution of this literature review is the taxonomy
of each feature by its implementation complexity, considering real-world
applications and integration in mobile apps and digital cameras. Also, we
discuss the machine learning results along with some unexplored research areas
as future work.
