Multi-party audiovisual systems for Wide Area Networks

广域网多方视听系统

基本信息

  • 批准号:
    490988-2015
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

Live streaming video is the building block of the current consumer web experience. Everything we eat, drink, watch, and experience is streamed into our lives on an ever-growing list of devices. However, live interactive video streaming is still at a formative stage. Network conferencing such as Skype is far from High Definition (HD) broadcast quality while broadcast quality video streaming to the web is currently limited to the single direction TV model. Broadcast streaming is launched to the Internet via cable from camera to satellite or by WiFi from smart phones to wireless networks. Increasingly, video streaming from remote locations is enabled by specialized video encoders. These units encode the data from a video camera and stream it to the Internet via satellite or mobile hot spots. However, this is still pure and simple point-to-point broadcasting. The traditional audience is still in place and is not equal participants in the process. Real time video interaction is now the end goal of the Internet. Based in Vancouver, MAX Q Live is developing a Global Web Portal built on interactively streaming video both to and from the web online in real time 24/7. To accomplish this task from any location on earth requires satellite transmission and a broadcast camera. The key limitation for broadcast to web interactivity has been a 40-second latency between the broadcast and web formats. MAX and an engineering team at SFU have created a breakthrough technology that, for the first time, allows the web video stream to interact with a broadcast source without latency. The project was supported by a previous NSERC Engage grant. It was a proof of technology that utilized a Local Area Network (LAN) setup that eliminated the existing delay of 40 seconds. The goal of this project is to build on the initial breakthrough and extend it to a Wide Area Network (WAN) application for full commercial use. This will position MAX Q Live to launch full operations in the Fall 2016.
实时流媒体视频是当前消费者网络体验的基石。我们吃的、喝的一切, 观看,体验通过越来越多的设备融入我们的生活。不过直播互动 视频流仍处于形成阶段。 Skype等网络会议距离高清还很远 (HD) 广播质量,而网络上的广播质量视频流目前仅限于单个 方向电视模型。广播流通过从摄像机到卫星的电缆或通过 从智能手机到无线网络的 WiFi。越来越多地启用来自远程位置的视频流 通过专门的视频编码器。这些单元对来自摄像机的数据进行编码并将其传输到互联网 通过卫星或移动热点。然而,这仍然是纯粹、简单的点对点广播。这 传统观众仍然存在,并不是平等的参与者。实时视频交互是 现在互联网的最终目标。 MAX Q Live 总部位于温哥华,正在开发一个基于交互式流媒体视频的全球门户网站 24/7 实时在线往返网络。要从地球上的任何位置完成此任务需要 卫星传输和广播摄像机。广播到网络交互的主要限制是 广播格式和网络格式之间有 40 秒的延迟。 MAX 和 SFU 的工程团队创建了 一项突破性技术,首次允许网络视频流与广播互动 源无延迟。该项目得到了之前 NSERC Engage 拨款的支持。这是一个证明 该技术利用局域网 (LAN) 设置消除了现有的 40 秒延迟。 该项目的目标是在最初的突破基础上扩展至广域网 (WAN) 申请完全商业用途。这将使 MAX Q Live 能够在 2016 年秋季全面投入运营。

项目成果

期刊论文数量(0)
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专利数量(0)

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Trajkovic, Ljiljana其他文献

Virtual Network Embedding via Monte Carlo Tree Search
  • DOI:
    10.1109/tcyb.2016.2645123
  • 发表时间:
    2018-02-01
  • 期刊:
  • 影响因子:
    11.8
  • 作者:
    Haeri, Soroush;Trajkovic, Ljiljana
  • 通讯作者:
    Trajkovic, Ljiljana
Intelligent Deflection Routing in Buffer-Less Networks
  • DOI:
    10.1109/tcyb.2014.2360680
  • 发表时间:
    2015-02-01
  • 期刊:
  • 影响因子:
    11.8
  • 作者:
    Haeri, Soroush;Trajkovic, Ljiljana
  • 通讯作者:
    Trajkovic, Ljiljana

Trajkovic, Ljiljana的其他文献

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{{ truncateString('Trajkovic, Ljiljana', 18)}}的其他基金

Machine Learning for Complex Networks
复杂网络的机器学习
  • 批准号:
    RGPIN-2018-06868
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Machine Learning for Complex Networks
复杂网络的机器学习
  • 批准号:
    RGPIN-2018-06868
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Machine Learning for Complex Networks
复杂网络的机器学习
  • 批准号:
    RGPIN-2018-06868
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Machine Learning for Complex Networks
复杂网络的机器学习
  • 批准号:
    RGPIN-2018-06868
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Machine Learning for Complex Networks
复杂网络的机器学习
  • 批准号:
    RGPIN-2018-06868
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Information Routing in Complex Networks
复杂网络中的信息路由
  • 批准号:
    216844-2013
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Information Routing in Complex Networks
复杂网络中的信息路由
  • 批准号:
    216844-2013
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Information Routing in Complex Networks
复杂网络中的信息路由
  • 批准号:
    216844-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Information Routing in Complex Networks
复杂网络中的信息路由
  • 批准号:
    216844-2013
  • 财政年份:
    2014
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Information Routing in Complex Networks
复杂网络中的信息路由
  • 批准号:
    216844-2013
  • 财政年份:
    2013
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual

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