A new perceptual evaluation method of video quality based on neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10248276" target="_blank" >RIV/61989100:27240/21:10248276 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/21:10248276
Result on the web
<a href="https://content.iospress.com/articles/intelligent-data-analysis/ida205085" target="_blank" >https://content.iospress.com/articles/intelligent-data-analysis/ida205085</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/IDA-205085" target="_blank" >10.3233/IDA-205085</a>
Alternative languages
Result language
angličtina
Original language name
A new perceptual evaluation method of video quality based on neural network
Original language description
This paper proposes a novel method for video quality evaluation based on machine learning technique. The current research deals with the correct interpretation of objective video quality evaluation (Quality of Service - QoS) in relation to subjective end-user perception (Quality of Experience - QoE), typically expressed by mean opinion score (MOS). Our method allows us to interconnect results obtained from video objective and subjective assessment methods in the form of a neural network (computing model inspired by biological neural networks). So far, no unified interpretation scale has been standardized for both approaches, therefore it is difficult to determine the level of end-user satisfaction obtained from the objective assessment. Thus, contribution of the proposed method lies in description of the way to create a hybrid metric that delivers fast and reliable subjective score of perceived video quality for internet television (IPTV) broadcasting companies.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Intelligent Data Analysis
ISSN
1088-467X
e-ISSN
—
Volume of the periodical
25
Issue of the periodical within the volume
3
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
17
Pages from-to
571-587
UT code for WoS article
000644439500006
EID of the result in the Scopus database
—