一种用于公网数字集群终端的视频比特率自适应算法

Yin Zhang, Xin Sun
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引用次数: 0

摘要

针对公网数字集群终端的移动性导致移动终端实时视频通信容易出现视频冻结的问题,提出了一种面向公网数字集群终端的视频比特率自适应算法。首先,移动端实时检测当前的地理位置和带宽情况。其次,采用基于无气味卡尔曼滤波的预测算法预测下一时刻移动终端的地理位置;同时在数据库中搜索下一时刻地理位置对应的带宽情况。最后,根据当前带宽情况和下一时刻地理位置的带宽情况,动态调整视频比特率。实验结果表明,所提算法能够准确预测下一时刻的地理位置,地理位置预测误差为1.89米;与基于当前带宽信息的视频比特率自适应算法相比,该算法可以有效地减少视频冻结,提高视频质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Video Bitrate Adaptive Algorithm for Public Network Digital Trunking Terminals
Concerning the fact that the real-time video communication of mobile terminals is prone to video freeze due to the mobility of public network digital trunking terminal, a video bitrate adaptive algorithm for public network digital trunking terminals is proposed. Firstly, the mobile terminal detects the current geographic location and bandwidth situation in real time. Secondly, the prediction algorithm based on unscented Kalman filtering is used to predict the geographic location of the mobile terminal at the next moment. At the same time, the bandwidth situation corresponding to the geographic location at the next moment in the database is searched. Finally, dynamically adjust the video bit rate according to the current bandwidth situation and the bandwidth situation of the geographic location at the next moment. The experimental results show that, the proposed algorithm can accurately predict the geographic location at the next moment, and the geographic location prediction error is 1.89 meters; Compared with the video bitrate adaptation algorithm based on the current bandwidth information, the proposed algorithm can effectively reduce the video freeze and improve the video quality.
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