Video Quality Loss Model on Communication Networks: An Approach Based on Frame Loss
DOI:
https://doi.org/10.14209/jcis.2022.4Abstract
This letter proposes a mathematical model capable of estimating video quality loss in error-prone networks through Peak Signal-to-Noise (PSNR ) ratio metric. Also, it presents experimental results by correlating the frame losses, the video resolution, and the received video visual complexity to obtain video quality loss models. The results show that frame loss satisfies the model to predict the PSNR loss for three resolutions.
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Published
2022-02-25
How to Cite
Matos, E. M. C., Costa, T. de A., Alcântara Neto, M. C., Castro, B. S. L., Farias, F. de S., de Araujo, J. P. L., & Barros, F. J. B. (2022). Video Quality Loss Model on Communication Networks: An Approach Based on Frame Loss. Journal of Communication and Information Systems, 37(1), 42–46. https://doi.org/10.14209/jcis.2022.4
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Section
Letters
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Received 2021-04-21
Accepted 2022-02-15
Published 2022-02-25
Accepted 2022-02-15
Published 2022-02-25