Network video quality assessment based on fuzzy inference system

The objective assessment method of network video quality is a challenge,because the video quality will be distorted by various factors,including transmission and compression. In order to improve the objective method,an objective assessment method based on fuzzy inference system of Mamdani is proposed. Firstly, six quality parameters are introduced. All the quality parameters are inputted to fuzzy logic controller system. Secondly,the outputs are used as next inputs and inferred by another fuzzy logic controller system to obtain the objective quality of network video. Lastly,the performance of proposed method is validated on four videos with different network environment. Meanwhile this method is compared with other methods. The experimental results show that the proposed method can improve the similarity between subjective and objective assessment.