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: The University of New South Wales
• 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
• 起止时间: 2010-03-01 至 2014-01-03
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP1096665
• 关键词: Non; Parametric; Modelling; Motion; Depth

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.

大画幅视频监控的应用即将快速增长，从军事应用开始，然后进入民用领域，这凸显了压缩对交互式传播的重要性，从而充分利用有限的通信信道。该项目将为运动和深度/高程地图开发一种创新的表示方式，以解决部署技术中的一个关键障碍，从而有效地交互式访问大格式视频和地理空间图像。这些应用与澳大利亚的国防和智能信息使用基础设施有关。此外，这是一项加强澳大利亚在互动媒体传播方面现有领先地位的战略建议。