Video data transmission code rate self-adaption method, system and device and storage medium

Abstract

The invention discloses a video data transmission code rate self-adaption method, system and device and a storage medium. The method comprises the following steps: acquiring each actual return value and each actual network state value fed back by each terminal respectively, storing each actual return value and each actual network state value as historical experience; randomly extracting historicalexperience to carry out time sequence difference training on a prediction neural network, acquiring a network observation state value of a first time window to be input into the prediction neural network, receiving each prediction return value output by the prediction neural network, determining a code rate level corresponding to an optimal value in each prediction return value, and the like. Network observation state values acquired in real time are classified by using a prediction neural network, so an optimal code rate level is selected for communication, the code rate level output each time is an optimal decision at the moment, and the defect that the prior art is difficult to adapt to different network environments and the like can be overcome. The method is widely applied to the technical field of the Internet.

Description

Technical field [0001] The present invention relates to the field of Internet technology, in particular to a method, system, device and storage medium for video data transmission rate adaptation. Background technique [0002] The video playback services provided through the Internet are becoming more and more abundant, and higher and higher requirements are placed on Internet hardware devices. The basic process of providing video playback services on the Internet is: the video communication server sends video data to the terminal via the Internet, and the terminal plays the video data. Therefore, the quality of video playback is closely related to the quality of video data transmission. Bit rate is an important indicator to measure the video data transmission process. Too low a bit rate will seriously reduce the quality of video playback, and a too high bit rate will increase the load of Internet hardware devices, even due to poor network environment. achieve. Therefore, dynami...

AI Technical Summary

Problems solved by technology

However, the limitation of this technical solution is that it is only suitable for one-to-one streaming media applications, that is, the scene where the video communication server only transmits video data with one terminal, but in practical applications, the video communication server will face the concurrent communication, which is beyond the scope of this technical program

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