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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Towards the Algorithmic Detection of Artistic Style

Author 1: Jeremiah W. Johnson
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 1 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100109

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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

How to Cite this Article

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

Johnson, Jeremiah W.. "Towards the Algorithmic Detection of Artistic Style." International Journal of Advanced Computer Science and Applications, vol. 10, no. 1, 2019, https://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},
  volume    = {10},
  number    = {1},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Jeremiah W. Johnson},
  doi       = {10.14569/IJACSA.2019.0100109},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100109}
}

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