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Non-Parametric Modelling of Motion and Depth fields with Boundary Geometry for Scalable Compression and Dissemination

Non-Parametric Modelling of Motion and Depth fields with Boundary Geometry for Scalable Compression and Dissemination
使用边界几何对运动和深度场进行非参数建模,以实现可扩展的压缩和传播
批准号:
DP1096665
负责人:
Prof David Taubman
金额:
$26.19万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2010
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2010-03-01 至 2014-01-03

项目摘要

项目成果

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中文摘要
翻译
大幅面视频监控的应用即将迅速增长,从军事应用开始,然后进入民用领域,凸显了压缩对交互传播的重要性,从而最大限度地利用有限的通信渠道。该项目将开发运动和深度/高度图的创新表示法,以解决部署高效交互获取大幅面视频和地理空间图像的技术方面的一个主要障碍。这些应用程序与澳大利亚的国防和智能信息使用基础设施相关。此外,这是一项战略建议,旨在加强澳大利亚在互动媒体传播方面的现有领先地位。
英文摘要
Applications for large format video surveillance are about to grow rapidly, starting with military applications and then moving into the civilian arena, highlighting the importance of compression for interactive dissemination, so as to make best use of limited communication channels. This project will develop an innovative representation for motion and depth/elevation maps, which addresses a key obstacle in the deployment of technology for efficient interactive access to large format video and geospatial imagery. These applications are relevant to Australia's defence and infrastructure for smart information use. Moreover, this is a strategic proposal to strengthen Australia's existing lead in aspects of interactive media dissemination.
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