SBIR Phase I: Use of No-Reference Measurements of Subjective Quality to enhance Next Generation systems for Video Distribution

这个小型企业创新研究第一阶段项目涉及设计和开发系统，以实时提高通过基于ip的网络分发的视频质量，包括尽最大努力的链接。本文在对视频和网络子系统的测量和优化研究的基础上，为实现上述目标提供了一种系统的方法。该建议的一个核心方面是零参考方法，用于预测网络中任何地方的视频质量，与质量的主观测量高度相关。该研究将包括拓扑简单的示例，其中通过使用系统核心的算法来增强网络中特定位置（例如视频通信链末端的接收器）的视频质量。如果成功，本研究提出的解决方案将有助于内容提供商、聚合商、分销商和接收器制造商满足新兴娱乐视频系统的用户期望。这本身就是一个巨大的市场。拟议的研究也将直接有助于高质量的视觉传播科学。

This Small Business Innovation Research Phase I project concerns the design and development of systems for real-time enhancement of the quality of video distributed over IP-based networks, including best-effort links. The proposed research provides a systematic way of realizing the above goal, building upon recent research on the measurement and optimization of video and network subsystems. A central aspect of the proposal is a zero reference method for predicting video quality anywhere in the network, with high correlation with subjective measurements of quality. The research will include the topologically simple example where video quality at a specific place in the network (such as the receiver at the end of the video communication chain) is enhanced by making use of algorithms that are at the core of the system. If successful, the solutions proposed in this research will help content providers, aggregators, distributors and receiver manufacturers in meeting user expectations in emerging systems for entertainment video. This is by itself a significant market. The proposed research will also contribute directly to the science of high-quality visual communications.