Abstract: The artistic style of a painting can be sensed by the average observer, but algorithmically detecting a painting’s style is a difficult problem. We propose a novel method for detecting the artistic style of a painting that is motivated by the neural-style algorithm of Gatys et. al. and is competitive with other recent algorithmic approaches to artistic style detection.

Jeremiah W. Johnson, “Towards the Algorithmic Detection of Artistic Style” International Journal of Advanced Computer Science and Applications(IJACSA), 10(1), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100109

@article{Johnson2019,
title = {Towards the Algorithmic Detection of Artistic Style},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100109},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100109},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {1},
author = {Jeremiah W. Johnson}
}