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The optimization network video quality assessment method based on fuzzy inference

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Abstract

In this paper, the optimization network video quality objective assessment method based on fuzzy inference (FI) is proposed. Firstly, the experimental system is built to extract the different types of impairment factors. At the same time, many people are arranged to assess the video quality and give the subjective scores. Secondly, the impairment factors are considered and trained by the support vector machine (SVM) to categorize the video quality. So the corresponding impairment factors of network video will also be categorized and the subjective and objective categories can be compared. Thirdly, the impairment factors of different categories are inputted into the fuzzy inference system. Meanwhile, different categories of fuzzy inference steps are simplified, and the specific objective scores are calculated. At last, the proposed method is compared with other methods; the experimental results show that this method can improve the accuracy. This paper has two contributions: 1. The video quality can be classified by SVM, and the objective scores can be calculated by FI. In addition, different categories of fuzzy inference steps are invented to simplify the inference process.2. Compared with other objective methods, the proposed method can improve the similarity between the subjective and objective scores. This paper will give the detail analysis of them.

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Authors and Affiliations

  1. College of Engineering, Huaqiao University, Quanzhou, Fujian, China

    Zhiming Shi

  2. Fujian Provincial Academic Engineering Research Centre in Industrial Intellectual Techniques and Systems, Huaqiao University, Quanzhou, Fujian, China

    Zhiming Shi

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  1. Zhiming Shi
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Shi, Z. The optimization network video quality assessment method based on fuzzy inference. SIViP 16, 1399–1407 (2022). https://doi.org/10.1007/s11760-021-02092-0

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