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

摘要：

　　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.

关键词： Loop neural network Real-time transmission control,Network bandwidth

作者: Peng Zhou Zhaohua Long

作者单位: School of Chongqing University of Posts and Telecommunications,Chongqing 400065,China

会议类型: 国际会议

会议名称: 2019 4th International Conference on Automatic Control and Mechatronic Engineering (ACME 2019) 2019年第四届自动控制与机电工程国际会议(ACME 2019)

会议地点: 重庆

会议语种:英文

页码: 60-65

在线出版日期: 2019-05-30（万方平台首次上网日期，不代表论文的发表时间）