Prediction of Subjective Video Quality Based on Objective Assessment

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 c...

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Bibliographic Details
Published in2018 26th Telecommunications Forum (TELFOR) pp. 1 - 4
Main Authors Sevcik, L., Behan, L., Frnda, J., Uhrina, M., Bienik, J., Voznak, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
Mathematical model
neural network
objective and subjective assessment
Predictive models
Quality assessment
Quality of service
spatial information
temporal information
Topology
Video sequences
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Summary: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.
DOI:10.1109/TELFOR.2018.8612127