Wireless live streaming media transmission method

Abstract

The invention discloses a wireless live streaming media transmission method. According to the method, a send level of a transmitting end is confirmed through active detection of wireless network connection rate and lost fed back by a receiving end, sent data content is confirmed according to the send level, when the send level is the highest level, the transmitting end transmits all data frames of the live streaming media, when the send level is the lowest level, the transmitting end only transmits key frames of the live streaming media. Through adoption of the wireless live streaming media transmission method, the send level of the transmitting end can be rapidly adjusted in time according to the wireless network state, the transmitting end changes the sent content in real time according to different send levels, so that the receiving end is guaranteed to receive the most complete video images when the network state is good, and the receiving end is guaranteed to receive the video images in real time when the network state is poor.

Description

technical field [0001] The invention relates to the technical field of wireless transmission, in particular to a wireless real-time streaming media transmission method. Background technique [0002] With the development of wireless networks, there is a great demand for streaming media services based on voice and video on wireless mobile terminals. Streaming media data transmission has the characteristics of high network bandwidth, low transmission delay and low delay jitter, which brings great challenges to network transmission. Streaming media network transmission has become the focus of network research. [0003] The rapid growth of wireless communication bandwidth provides better development opportunities for streaming media transmission. However, the wireless channel has a high error rate and time-varying characteristics, and the unreliability of the wireless channel will cause serious jitter, which makes it a huge challenge to ensure the service quality of wireless str...

AI Technical Summary

Problems solved by technology

However, the above algorithms have applicability defects: the AIMD algorithm tends to cause sawtooth fluctuations in the transmission rate, which is not conducive to improving the quality of transmission services; while the TFRC algorithm adjusts the rate according to the maximum use of network resources, ignoring the perceived quality of the video stream. For real-time video and audio data collection and transmission, if the encoding rate remains the same, simply reducing the transmission speed will cause unacceptable delay

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