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The analysis of network video quality assessment based on different fuzzy neural network

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Abstract

Nowadays, people watch network video through any way, such as mobile phone, tables. However, during the transmission process of network video, the video quality may be impaired by many factors. So how to assess the video quality has become a hot research topic in the academic community. This paper proposes objective assessment method based on fuzzy neural network. At first, the impairment factors of video quality are introduced, next the experimental environment is built, and two fuzzy neural network models are used to build objective assessment method. By adjusting the model structure and training times, the objective scores of video quality are calculated. At the same time, other recent objective methods are compared with the proposed method. Lastly the advantages of two models are analyzed, and the detail process of them will be discussed.

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Acknowledgements

This work is supported by Science and Technology Research Project of Jiangxi Provincial Department of Education (GJJ2200529).

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  1. School of Software & Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China

    Zhiming Shi

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  1. Zhiming Shi
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Correspondence to Zhiming Shi.

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Shi, Z. The analysis of network video quality assessment based on different fuzzy neural network. Multimed Tools Appl 83, 32177–32189 (2024). https://doi.org/10.1007/s11042-023-16834-4

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