SBIR Phase I: A Cloud Client Service for Next Generation of Mobile Computing, Leveraging Low Latency Video Encoder Algorithms

SBIR 第一阶段：利用低延迟视频编码器算法的下一代移动计算云客户端服务

• 批准号: 1448012
• 负责人: Adam Malamy
• 金额: $ 15万
• 依托单位: NGCodec Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1448012&HistoricalAwards=false
• 关键词: SBIR; Phase; Cloud; Client; Service

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to enable various low latency video applications that are not possible today. One of the most interesting is in the area of cloud computing, in which a server in a data center somewhere on the Internet runs a client's application remotely, and delivers the frame-by-frame video to the client's viewer. This allows for a very cheap client device, consisting of just a video decoder and an input such as a mouse pad, while graphic or compute intensive tasks run on powerful servers in the cloud that can be leased to the client on an as-needed basis. This server-client model could also be used internally at a company or school, greatly simplifying IT requirements. And for high security applications there is also an advantage, as all data is stored remotely. There is nothing local on the user's device to be compromised. Cloud computing services such as these are already coming on line, but the range of applications they can run is limited by the lack of good low latency video encoding. Solving this problem opens up a whole new paradigm of how people purchase, maintain and use personal computers and software.This Small Business Innovation Research (SBIR) Phase I project investigates techniques for real-time ultra low latency video compression. The goal of the research is to enable the encoding and transmission of video over a communications medium such as the Internet, cell phone network, satellite network, etc. such that the video may be viewed at the receiving end with no more than 1 frame of latency from when it was encoded at the source. The best and newest industry-standard video compression specification, called H.265, will be used as a framework such that the resulting compressed video can be readily decoded by widely available software or hardware. Framework tools and techniques to monitor and adjust the bit rate of the compressed video will be developed and tested to achieve the low latency goals while maintaining high visual quality of the compressed video. The result of this research will be a set of algorithms that can be used in the design of an H.265 video encoder that will achieve the low latency goal, as well as a characterization of the limitations of these algorithms such that their applicability to various real-world opportunities can be assessed.

这项小型企业创新研究（SBIR）I阶段项目的更广泛的影响/商业潜力将是启用当今无法实现的各种低潜伏期视频应用程序。 最有趣的之一是在云计算领域，其中数据中心的服务器在Internet上的某个地方远程运行客户端的应用程序，并将逐帧视频交付给客户端的查看器。 这允许使用非常便宜的客户端设备，仅由视频解码器和鼠标垫等输入组成，而图形或计算密集的任务在云中强大的服务器上运行，这些任务可以在需要的基础上租给客户端。 该服务器客户模型也可以在公司或学校内部使用，从而大大简化了IT要求。 对于高安全性应用程序，也有一个优势，因为所有数据均已远程存储。 用户设备上没有任何局部性要妥协。 诸如此类的云计算服务已经在线，但是他们可以运行的应用程序范围受到缺乏良好的低延迟视频编码的限制。 解决此问题为人们如何购买，维护和使用个人计算机和软件打开了一个全新的范式。这项小型企业创新研究（SBIR）I阶段项目研究了用于实时超低延迟视频压缩的技术。 该研究的目的是在诸如Internet，手机网络，卫星网络等通信媒体上启用视频的编码和传输，以便可以在接收端观看视频，从源源进行编码时不超过1帧的延迟。 最佳和最新的行业标准视频压缩规范（称为H.265）将用作框架，以便可以通过广泛可用的软件或硬件很容易解码所得的压缩视频。 将开发和测试以监视和调整压缩视频的比特率的框架工具和技术，以实现低潜伏期目标，同时保持压缩视频的高视觉质量。 这项研究的结果将是一组算法，可用于设计H.265视频编码器，该算法将实现低延迟目标，以及这些算法的局限性的表征，以便可以评估它们对各种现实世界机会的适用性。