Open AccessKey Information Recognition Algorithm for Mobile Network Video Propagation based on Discrete GMM-HMM
Author(s) -
Aixi Xu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012224
Subject(s) - computer science , key (lock) , mixture model , transmission (telecommunications) , artificial intelligence , artificial neural network , hidden markov model , identification (biology) , classifier (uml) , feature (linguistics) , pattern recognition (psychology) , real time computing , telecommunications , linguistics , philosophy , botany , computer security , biology
In view of the problem that mobile network video transmission is prone to traffic congestion, the key information identification is carried out to improve the mobility of mobile network video transmission. A key information recognition method for mobile network video transmission is proposed based on Gaussian Mixture Model (GMM-HMM). The key information after feature separation is input into the neural network classifier to detect and process the key information of mobile network video transmission, and the key information identification of mobile network video transmission is completed. The simulation results show that the proposed method has strong anti-jamming ability, high probability of accurate recognition and good convergence of GMM-HMM Model, which improves the recognition efficiency.