Conference paper Open Access

Image Aesthetics Assessment using Fully Convolutional Neural Networks

Apostolidis, Konstantinos; Mezaris, Vasileios

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Publication date:
January 10, 2019
DOI:
10.1007/978-3-030-05710-7_30
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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