I-Corps: Cloud-Based Mobile Video Encoding Service

I-Corps：基于云的移动视频编码服务

• 批准号: 1249278
• 负责人: Dipankar Raychaudhuri
• 金额: $ 5万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1249278&HistoricalAwards=false
• 关键词: Corps; Cloud; Based; Mobile; Video

The product the team aims to bring to market is a cloud-based video encoding and transcoding service with superior performance, flexibility and security features. Customers using this service would upload video files through a web portal (or API) for encoding/transcoding into their choice of formats and bit-rates suitable for display on mobile devices. The differentiating features of the planned cloud video product include: (a) fast encoding/transcoding speed with superior video quality, (b) excellent cost/performance, and (c) the ability to support a wide variety of input and output video formats. Implementation of the proposed cloud service will employ distributed computing technologies such as Map/Reduce and Hadoop to achieve significant parallelism in video processing, resulting in efficient use of computing resources and faster processing time. The cloud video prototype to be developed in this project is expected to result in a commercial service with significant revenue potential. The product will simplify video encoding and transcoding for a variety of enterprises including content producers, broadcasters and mobile service providers, by providing on-demand and low-cost video conversion services that currently require on-site equipment with related capital costs. If successful, the cloud video technology will thus enable improved and lower cost mobile content delivery benefiting a broad cross section of Internet and wireless end-users.

该团队旨在推向市场的产品是一种基于云的视频编码和转码服务，具有卓越的性能、灵活性和安全性。使用这项服务的客户可以通过门户网站（或API）上传视频文件，以便将其编码/转码为适合在移动设备上显示的格式和比特率。计划中的云视频产品的差异化特征包括：(a)编码/转码速度快，视频质量好；(b)性价比高；(c)支持多种输入和输出视频格式。拟议的云服务的实现将采用分布式计算技术，如Map/Reduce和Hadoop，以实现视频处理的显著并行性，从而有效利用计算资源和更快的处理时间。在这个项目中开发的云视频原型预计将产生具有巨大收入潜力的商业服务。该产品将通过提供点播和低成本的视频转换服务，简化包括内容制作商、广播公司和移动服务提供商在内的各种企业的视频编码和转码，目前需要现场设备和相关资本成本。如果成功，云视频技术将使改进和降低成本的移动内容交付受益于广泛的互联网和无线终端用户。