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VIDEO AESTHETIC QUALITY ASSESSMENT USING KERNEL SUPPORT VECTOR MACHINE WITH ISOTROPIC GAUSSIAN SAMPLE UNCERTAINTY (KSVM-IGSU)

Christos Tzelepis; Eftichia Mavridaki; Vasileios Mezaris; Ioannis Patras

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@proceedings{christos_tzelepis_2016_159236,
  title        = {{VIDEO AESTHETIC QUALITY ASSESSMENT USING KERNEL 
                   SUPPORT VECTOR MACHINE WITH ISOTROPIC GAUSSIAN
                   SAMPLE UNCERTAINTY (KSVM-IGSU)}},
  year         = 2016,
  publisher    = {Zenodo},
  month        = sep,
  doi          = {10.1109/ICIP.2016.7532791},
  url          = {https://doi.org/10.1109/ICIP.2016.7532791}
}
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Publication date:
September 25, 2016
DOI:
10.1109/ICIP.2016.7532791

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Keyword(s):
Video aesthetic quality assessment Rules of photography and cinematography Support vector machine Video representation uncertainty
Grants:
European Commission:
  • MOVING - Training towards a society of data-savvy information professionals to enable open leadership innovation (693092)
  • InVID - In Video Veritas – Verification of Social Media Video Content for the News Industry (687786)
Meeting:
IEEE International Conference on Image Processing (ICIP 2016), Phoenix Cinvention Center, Phoenix, Arizona 85004 USA, 25-28 September 2016
Communities:
License (for files):
Creative Commons Attribution 4.0 International

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