Automatic quality of experience measuring for video conference in real-time
Joint Authors
Ghani, Rana F.
al-Husni, Rua E.
Source
Iraqi Journal of Computer, Communications and Control Engineering
Issue
Vol. 22, Issue 3 (30 Sep. 2022), pp.118-127, 10 p.
Publisher
Publication Date
2022-09-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
In recent years, especially with COVID-19, video conference applications have become very important.
Millions of peoples around the world have become to communicate with each other through using video conference applications.
The most critical factor in the performance success of video conference applications is the user's perception of the quality of the experience.
In this work, an Extreme Learning Machine (ELM) model was proposed for predicting video quality of experience.
The proposed system extracts several features from videos that have a significant impact on the quality of the experience.
The model performance was validated with unseen data.
Spearman’s Rank Correlation Coefficient (SRCC), Root Mean Square Error (RMSE), Pearson’s Linear Correlation Coefficient (PLCC) metrics have been used to measure the accuracy of the model and correlation.
The results demonstrate that the proposed model had better performance than models used by the previous researchers that were used for predicting video QoE in terms of precision, correlation, and running time.
American Psychological Association (APA)
al-Husni, Rua E.& Ghani, Rana F.. 2022. Automatic quality of experience measuring for video conference in real-time. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 22, no. 3, pp.118-127.
https://search.emarefa.net/detail/BIM-1492793
Modern Language Association (MLA)
al-Husni, Rua E.& Ghani, Rana F.. Automatic quality of experience measuring for video conference in real-time. Iraqi Journal of Computer, Communications and Control Engineering Vol. 22, no. 3 (Sep. 2022), pp.118-127.
https://search.emarefa.net/detail/BIM-1492793
American Medical Association (AMA)
al-Husni, Rua E.& Ghani, Rana F.. Automatic quality of experience measuring for video conference in real-time. Iraqi Journal of Computer, Communications and Control Engineering. 2022. Vol. 22, no. 3, pp.118-127.
https://search.emarefa.net/detail/BIM-1492793
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 126-127
Record ID
BIM-1492793