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Video Transmission Control Method Based on Recurrent Neural Network with Long Short-Term Memory Patterns (LSTM-RNN)

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DOI: 10.23977/amce.2019.009


Peng Zhou, Zhaohua Long

Corresponding Author

Peng Zhou


A video transmission control method based on cyclic neural network is proposed for video communication. The scheme users LSTM-RNN to estimate the network bandwidth and adjusts the video transmission rate according to the predicted results. The experimental results show that the model can accurately predict the network bandwidth, which can describe the trend of changes better in network bandwidth and ensure the real-time and stability of the video.


Loop neural network, Real-time transmission control, Network bandwidth

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