Prediction of Subjective Video Quality Based on Objective Assessment

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241733" target="_blank" >RIV/61989100:27240/18:10241733 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/18:10241733
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8612127" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8612127</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TELFOR.2018.8612127" target="_blank" >10.1109/TELFOR.2018.8612127</a>

Result language
angličtina
Original language name
Prediction of Subjective Video Quality Based on Objective Assessment
Original language description
The most accurate method to obtain QoE is doing subjective tests, that are time-consuming and costly. It is necessary to bridge the gap between how the human brain perceives video quality and distortions introduced in the delivery chain. The main issue of this paper is how to correct interpret and convert the objective score to the subjective point of view. The authors developed mapping function between these two methods using for evaluation of the video quality. We bring a new model for prediction of the subjective quality based on objective, using artificial intelligence.
Czech name
—
Czech description
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Project
<a href="/en/project/LM2015070" target="_blank" >LM2015070: IT4Innovations National Supercomputing Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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