Conference paper Open Access

Image Aesthetics Assessment using Fully Convolutional Neural Networks

Apostolidis, Konstantinos; Mezaris, Vasileios

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@proceedings{apostolidis_konstantinos_2019_2539133,
  title        = {{Image Aesthetics Assessment using Fully 
                   Convolutional Neural Networks}},
  year         = 2019,
  publisher    = {Zenodo},
  month        = jan,
  doi          = {10.1007/978-3-030-05710-7_30},
  url          = {https://doi.org/10.1007/978-3-030-05710-7_30}
}
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Publication date:
January 10, 2019
DOI:
10.1007/978-3-030-05710-7_30

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Keyword(s):
Image Aesthetics Deep Learning Fully Convolutional Neural Networks
Grants:
European Commission:
  • InVID - In Video Veritas – Verification of Social Media Video Content for the News Industry (687786)
  • EMMA - Enriching Market solutions for content Management and publishing with state of the art multimedia Analysis techniques (732665)
Meeting:
25th International Conference on Multimedia Modeling (MMM 2019), Thessaloniki, Greece, 8-11 January 2019
Communities:
License (for files):
Creative Commons Attribution 4.0 International

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