Towards the Algorithmic Detection of Artistic Style

Jeremiah W. Johnson

doi:10.14569/IJACSA.2019.0100109

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Towards the Algorithmic Detection of Artistic Style

Author 1: Jeremiah W. Johnson

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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.

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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},
}