QoS control framework with QoP feedback for real-time video
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摘要: 分析了实时视频在现有"尽力而为"IP网络上传输所面临的带宽、延迟和丢失等问题,介绍了需要采用的拥塞控制和差错控制等应用级服务质量控制策略,并提出了一种联合的支持应用级服务质量控制的实时视频传输框架.该框架既考虑了网络资源的动态变化和影响,又兼顾了视频的服务质量调整对视频的表现质量的限制因素,充分利用了服务质量和表现质量之间的映射关系,具有更广泛的实用价值.Abstract: The BEST-EFFORT internet can't meet such quality of service (QoS) requirements as bandwidth, latency, and loss of real-time video applications, so the application layer QoS control strategies, congestion control and error control, are widely used. A joint transport framework of real-time video that supports application layer QoS was presented. This framework involves not only network resources and their variations, but also the restrictions of QoS control on the video quality of perception (QoP). The fuzzy map from QoS to QoP is also considered to control the QoS more efficiently. As a result, this framework is promising to improve video application QoS on the BEST-EFFORT internet.
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Key words:
- video /
- real time /
- transmission /
- quality of service /
- quality of perception
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