Cloud-supported Adaptive Streaming of Videos

云支持的自适应视频流

• 批准号: 479254-2015
• 负责人: Hefeeda, Mohamed
• 金额: $ 10.61万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=641873
• 关键词: Cloud; supported; Adaptive; Streaming; Videos

Internet traffic has been growing by 21% annually and it is predicted that up to 90% of global traffic will be video by 2018. The goal of this project is to design algorithms and systems for novel multimedia applications and to improve the quality, efficiency, and scalability of multimedia distribution systems to meet the fast-growing demands. We will investigate the delivery of new types of multimedia content and improve the quality of ultra high-definition, interactive, multi-view, tiled, and 3D videos. Current adaptive streaming systems suffer from unfairness, instability, and under-utilization and these problems will be exacerbated by richer multi-component video content and growth in the number of mobile-connected devices, most of them multimedia-capable, which is forecast to be 11.5 billion by 2019. To meet the rapidly increasing demand, current 4G and future 5G wireless networks and the new HTTP 2.0 standard introduce complex architectural and algorithmic features. We will analyze the impact of these features on adaptive multimedia streaming systems and develop algorithms to maximize the utilization of cellular networks, improve the quality of multi-component videos delivered over such networks, and minimize the energy consumption of mobile devices participating in video sessions. Furthermore, we will develop novel cloud-based algorithms for processing, adapting, and storing large datasets of rich multi-component videos. Cisco Canada, a key player in the video industry and a partner on this project, observes the problems described above in real deployments and is eager to find solutions for them. We will work with Cisco Canada to design and implement novel algorithms and systems for future cloud-supported multimedia systems, which will offer feature-rich video content to large-scale heterogeneous users over wired and 4G/5G wireless networks. The proposed research will extend Cisco Canada's product portfolio and will also create beneficial technologies for Canadian industry in general.

互联网流量每年增长21%，预计到2018年，全球流量的90%将是视频。该项目的目标是为新的多媒体应用设计算法和系统，并提高多媒体分发系统的质量，效率和可扩展性，以满足快速增长的需求。我们将研究新型多媒体内容的交付，并提高超高清、交互式、多视图、平铺和3D视频的质量。目前的自适应流媒体系统存在不公平、不稳定和利用不足的问题，这些问题将因更丰富的多分量视频内容和移动连接设备数量的增长而加剧，其中大多数设备都具有多媒体功能，预计到2019年将达到115亿。为了满足快速增长的需求，当前的4G和未来的5G无线网络以及新的HTTP 2.0标准引入了复杂的架构和算法功能。我们将分析这些功能对自适应多媒体流系统的影响，并开发算法，以最大限度地利用蜂窝网络，提高质量的多组件视频通过这样的网络，并尽量减少能源消耗的移动的设备参与视频会话。此外，我们将开发新的基于云的算法，用于处理、调整和存储丰富的多分量视频的大型数据集。思科加拿大公司是视频行业的主要参与者，也是该项目的合作伙伴，它在真实的部署中观察到了上述问题，并渴望找到解决方案。我们将与思科加拿大合作，为未来的云支持多媒体系统设计和实施新的算法和系统，该系统将通过有线和4G/5G无线网络为大规模异构用户提供功能丰富的视频内容。拟议的研究将扩展思科加拿大的产品组合，并将为加拿大工业创造有益的技术。