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Description
  • This paper proposes a reference free video quality estimation method for full high definition video services based on a structural similarity index. The design of our estimator is based on an artificial neural network. To achieve this, the neural network was trained with a set of video statistical parameters estracted from the most representative video contents. Moreover, estimations with neural networks allow higher applicability and require lower processing power as known reference based methods. Finally, the achieved correlation between the calculated and the estimated structural similarity index shows a very good fit.
  • This paper proposes a reference free video quality estimation method for full high definition video services based on a structural similarity index. The design of our estimator is based on an artificial neural network. To achieve this, the neural network was trained with a set of video statistical parameters estracted from the most representative video contents. Moreover, estimations with neural networks allow higher applicability and require lower processing power as known reference based methods. Finally, the achieved correlation between the calculated and the estimated structural similarity index shows a very good fit. (en)
Title
  • Reference Free SSIM Estimation for Full HD Video Content
  • Reference Free SSIM Estimation for Full HD Video Content (en)
skos:prefLabel
  • Reference Free SSIM Estimation for Full HD Video Content
  • Reference Free SSIM Estimation for Full HD Video Content (en)
skos:notation
  • RIV/00216305:26220/11:PU91995!RIV12-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP102/10/1320), R, S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 226104
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU91995
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Video quality, structural similarity, high definition video service, artificial neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [96E77879DEDB]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 21st International Conference Radioelektronika 2011
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Ries, Michal
  • Slanina, Martin
  • Garcia, David Mora
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-1-61284-322-3
http://localhost/t...ganizacniJednotka
  • 26220
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