摘要
针对视频通信中的实时传输控制,提出一种基于马尔可夫预测的智能丢帧实时视频传输控制方案。该方案可以灵活调整视频数据的网络负载量,使之在不改变用户视频图像质量的情况下尽最大可能地适应网络性能。通过仿真实验证明,该方案可以在保障视频画面质量的情况下,适应性能状况不同的多种级别的网络。在网络性能较好时,该方案比原有系统提高了3%以上的网络吞吐量。
Aiming at real-time transmission control in video communications,the paper proposes a Markov prediction based intelligent frame dropping real-time video transmission control scheme. The scheme can flexibly adjust video data＇s network load to enable it to try its best to adapt to network performance without changing user＇s video image quality. Through simulation experiments it is proved that the scheme can on the one hand ensure the video image quality,on the other hand adapt to various or different level networks. When network performance is good,the scheme increases at least 3% network throughput than the original system.
出处
《计算机应用与软件》
CSCD
北大核心
2014年第5期210-214,共5页
Computer Applications and Software
基金
重庆市科委自然科学基金项目(2009BB2081)
重庆市教委自然科学研究项目(KJ110504)
关键词
马尔科夫预测
智能丢帧
实时视频传输
Markov prediction Intelligent frame dropping Real-time video transmission
