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

  • 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

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.

Published
25-02-2022
How to Cite
Matos, E. M., Costa, T., Alcântara Neto, M., Castro, B., Farias, F., de Araujo, J. P., & Barros, F. J. (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
Section
Letters

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