基于人工智能的自适应软件京东直播应用平台模型的构建研究

Research on the construction of JD Live streaming application platform model of adaptive software based on artificial intelligence

在流媒体技术快速发展的背景下,用户对网络内容的需求不断提升,视频传输迎来了全新的挑战。针对传统流媒体技术视频直播过程中忽略网络环境变化且不能根据网络变化适时调整视频传输的问题,文章设计了一种基于人工智能的码率自适应软件,通过连续时延和码率控制算法实现视频直播传输的动态调整。仿真结果表明,基于人工智能的码率自适应软件可根据直播过程中的网络变化情况实时调整视频直播效果,有效提升用户的观看体验感。

Against the backdrop of the rapid development of streaming media technology,users'demand for online content is constantly increasing,and video transmission is facing new challenges.To address the issue of neglecting network environment changes in traditional streaming media technology during video live streaming,which prevents timely adjustment of video transmission based on network changes,a rate adaptive software based on artificial intelligence is designed,which dynamically adjusts video direct transmission through continuous delay and rate control algorithms.The simulation results show that the artificial intelligence based rate adaptive software designed in this article can adjust the video live streaming effect in real-time based on network changes during the live streaming process,effectively improving the user's viewing experience.