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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Towards the Algorithmic Detection of Artistic Style
Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100109
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 1, 2019.
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.
Keywords: Artificial intelligence; neural networks; style trans-fer; representation learning; deep learning; computer vision; ma-chine learning
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}
}
