摘要
文章针对复杂网络环境下高清视频数据的低延时安全传输问题进行了研究,旨在解决现有技术中因抖动和丢包导致的视频流畅度与清晰度下降问题;研究中采用了一种创新的基于5G通信网络的高清视频数据低延时安全传输方法;该方法首先利用运动估计技术生成预测块,并计算残差,通过重组预测块与残差块来恢复视频帧,实现视频数据的有效压缩;随后,根据QoS需求,定义了视频关键切片与普通切片的优先级,并依据网络传输资源的实时状况进行动态资源分配;此外,结合边缘节点与云服务器,在5G通信网络的支持下构建了视频数据传输模型;实验结果表明,该方法在传输高清视频时,带宽占用率显著降低,且安全传输质量优异;在实际应用中,该方法成功满足了高清视频数据的低延时安全传输需求,展现出良好的应用价值。
A study is conducted on the low latency and secure transmission of high-definition video data in complex network environments,aiming to solve the decreased video fluency and clarity caused by jitter and packet loss in existing technologies.An innovative low latency secure transmission method for high-definition video data based on 5G communication networks is presented.By recombining the prediction blocks and residual blocks,this method first uses motion estimation techniques to generate prediction blocks,calculates residuals,and reconstructs video frames,and effectively compress video data.Then,based on the requirements of quality of service(QoS),the priority of video key slices and regular slices is defined,and the resources are dynamically allocated by the real-time status of network transmission resources.In addition,by combining edge nodes and cloud servers,a video data transmission model is constructed with the support of 5G communication networks.Experimental results show that when transmitting high-definition videos,this method has the features of significantly low bandwidth utilization and excellent transmission quality.In practical applications,this method successfully meets the low latency and secure transmission requirements of high-definition video data,demonstrating good application value.
作者
徐胜超
钟娉婷
XU Shengchao;ZHONG Pingting(School of Artificial Intelligent,Guangzhou Huashang College,Guangzhou 511300,China)
出处
《计算机测量与控制》
2025年第7期272-279,共8页
Computer Measurement &Control
基金
国家自然科学基金面上项目(61972444)。
关键词
高清视频
安全传输
低延时
5G通信网络
传输质量
high-definition video
secure transmission
low latency
5G communication network
transmission quality
