Video Quality Loss Model on Communication Networks: An Approach Based on Frame Loss

Authors

  • Edemir Marcus Carvalho Matos Federal University of Pará
  • Thiago de Araujo Costa Federal University of Pará
  • Miércio Cardoso Alcântara Neto Federal University of Pará
  • Bruno Souza Lyra Castro Federal University of Pará
  • Fabricio de Souza Farias Federal University of Pará
  • Jasmine Priscyla Leite de Araujo Federal University of Pará
  • Fabrício José Brito Barros Federal University of Pará

DOI:

https://doi.org/10.14209/jcis.2022.4

Abstract

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

Issue

Section

Letters
Received 2021-04-21
Accepted 2022-02-15
Published 2022-02-25

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