Realtime Visualization and Analysis of Scientific Video Data

这个项目的目标是开发实用的工具，用于在线分析和可视化实验视频数据，这些工具应该适用于研究和教学实验室。该系统将有一个熟悉的基于网络的界面，促进协作可视化和远程访问，并利用分布式计算资源获得接近实时的性能。该系统将特别面向视频数据的无缝采集和分析，以便检测实验运行期间的过渡。快速显示技术和空间Karhunen-Love重建将是实现的技术之一，使实验者能够随着实验参数的变化绘制出分叉结构。

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.