Context preserving video reductions for variable QoS networks

可变 QoS 网络的上下文保留视频缩减

• 批准号: 446928-2013
• 负责人: Whitehead, Anthony
• 金额: $ 1.82万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=536597
• 关键词: Context; preserving; video; reductions; variable

There is a need for a context preserving, high-speed method for compressing video feeds for delivery over multiple network channels with varying quality of service capabilities. It is an important element to maintain the context (meaning) of the video feeds, yet minimize the impact of bandwidth usage on their overall communications platform. The main goal of this project is build off of previous work in context preserving frame extraction for structure from motion and adapt the technology to the specific requirements for video transmission for security solutions. It is expected that this research will become a foundational part of the video transmission and security analysis software.

需要一种用于压缩视频馈送以通过具有变化的服务质量能力的多个网络信道进行递送的上下文保留的高速方法。 这是一个重要的元素，以保持视频源的上下文（意义），但最大限度地减少带宽使用对其整体通信平台的影响。 该项目的主要目标是建立在以前的工作中，从运动中提取结构的上下文保持帧，并使该技术适应安全解决方案视频传输的特定要求。 本课题的研究有望成为视频传输和安全分析软件的基础部分。