TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
Using Fuzzy Neural Network to Assess Network Video Quality |
| 영문제목(English Title) |
Using Fuzzy Neural Network to Assess Network Video Quality |
| 저자(Author) |
Zhiming Shi
|
| 원문수록처(Citation) |
VOL 16 NO. 07 PP. 2377 ~ 2389 (2022. 07) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
At present people have higher and higher requirements for network video quality, but video quality will be impaired by various factors, so video quality assessment has become more and more important. This paper focuses on the video quality assessment method using different fuzzy neural networks. Firstly, the main factors that impair the video quality are introduced, such as unit time jamming times, average pause time, blur degree and block effect. Secondly, two fuzzy neural network models are used to build the objective assessment method. By adjusting the network structure to optimize the assessment model, the objective assessment value of video quality is obtained. Meanwhile the advantages and disadvantages of the two models are analysed. Lastly, the proposed method is compared with many recent related assessment methods. This paper will give the experimental results and the detail of assessment process. |
| 키워드(Keyword) |
Fuzzy Neural Network
Video quality assessment
Objective method
Network structure
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| 파일첨부 |
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