Distributed quality-aware multimedia communications

多媒体通信产业正经历一个快速发展的阶段，新的业务不断涌现，如移动的视频电话和互联网协议电视。此外，多媒体服务越来越多地通过异构网络传输，异构网络生成不利地影响终端用户的感知体验质量（QoE）的信号降级组合。传统上，主观测试已经被用于表征多媒体QoE。然而，主观测试，不适合在线应用和客观模型，需要在服务质量监测。有了这些客观模型，就可以系统地调整网络参数以优化速率-质量性能，从而改善多媒体流传输并增强Qoe。我们把这种情况称为“质量感知多媒体通信”。'

The multimedia communications industry is going through a phase of rapid development and new services are emerging continuously, such as mobile video telephony and internet protocol television. Additionally, multimedia services are increasingly being transmitted through heterogeneous networks which generate signal degradation combinations that adversely affect the end-user's perceived quality of experience (QoE). Traditionally, subjective tests have been used to characterize multimedia QoE. Subjective tests, however, are not suitable for online applications and objective models are needed for in-service quality monitoring. With such objective models available, network parameters can be systematically adjusted to optimize rate-quality performance, thus improving multimedia stream delivery and enhancing QoE. We refer to this scenario as 'quality-aware multimedia communications.'