Reference Free SSIM Estimation for Full HD Video Content

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU91995" target="_blank" >RIV/00216305:26220/11:PU91995 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Reference Free SSIM Estimation for Full HD Video Content
Original language 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 networkwas 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.
Czech name
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Czech description
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Project
<a href="/en/project/GAP102%2F10%2F1320" target="_blank" >GAP102/10/1320: Research and modeling of advanced methods of image quality evaluation</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach<br>R - Projekt Ramcoveho programu EK

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 21st International Conference Radioelektronika 2011
ISBN
978-1-61284-322-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Vysoké učení technické v Brně
Place of publication
Brno
Event location
Brno
Event date
Apr 19, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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