Evaluation Model of Computer Video Image Quality under the Internet of Things

The purpose of the study is to evaluate the quality of computer video image quality under the Internet of things, so as to improve the user’s quality of experience. The research method is studied with MATLAB 2017 software and NS2+cygwin and MyEvalvid and visio 2016 software. The result is that the Logistic function can be used to get the subjective and an objective fitting map, Logistic function is better than other function under the field of video image quality evaluation under the Internet of things. The conclusion is that the method of video image quality evaluation model under the Internet of things is proposed in the paper is more accurate and faster than the other methods. Because coefficient SROCC, KROCC, PLCC, RMSE is close to 1, so the model has good performance. Access control card recognition, vehicle recognition, license plate recognition, intelligent transportation and IPTV and computer are all applications of the Internet of things.