Realtime Visualization and Analysis of Scientific Video Data

科学视频数据的实时可视化和分析

• 批准号: 9721348
• 负责人: Kay Robbins
• 金额: $ 13.46万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9721348&HistoricalAwards=false
• 关键词: Realtime; Visualization; Analysis; Scientific; Video

The objectives of this project are to develop practical tools for online analysis and visualization of experimental video data that should be applicable in both research and teaching laboratories. The system will have a familiar web-based interface, promote collaborative visualization and remote access and take advantage of distributed computing resources to attain near-realtime performance. The system will be particularly oriented towards the seamless acquisition and analysis of video data in order to detech transitions during the running of experiments. Fast display techniques and spatial Karhunen-Loeve reconstructions will be among the techniques implemented to allow experimentalists to map out bifurcation structure as experimental parameters are changed.

该项目的目标是开发实用工具，用于在线分析和可视化实验视频数据，这些数据应适用于研究和教学实验室。 该系统将有一个熟悉的网络界面，促进协作可视化和远程访问，并利用分布式计算资源实现近实时性能。 该系统将特别面向视频数据的无缝采集和分析，以便在实验运行期间检测过渡。 快速显示技术和空间Karhunen-Loeve重建将是实施的技术之一，以允许实验人员绘制出分叉结构，因为实验参数发生变化。