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Detail publikace
RIES, M. SLANINA, M. GARCIA, D.
Originální název
Reference Free SSIM Estimation for Full HD Video Content
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Video quality; structural similarity; high definition video service; artificial neural network
Autoři
RIES, M.; SLANINA, M.; GARCIA, D.
Rok RIV
2011
Vydáno
19. 4. 2011
Nakladatel
Vysoké učení technické v Brně
Místo
Brno
ISBN
978-1-61284-322-3
Kniha
Proceedings of the 21st International Conference Radioelektronika 2011
Strany od
225
Strany do
228
Strany počet
4
BibTex
@inproceedings{BUT37076, author="Michal {Ries} and Martin {Slanina} and David Mora {Garcia}", title="Reference Free SSIM Estimation for Full HD Video Content", booktitle="Proceedings of the 21st International Conference Radioelektronika 2011", year="2011", pages="225--228", publisher="Vysoké učení technické v Brně", address="Brno", isbn="978-1-61284-322-3" }