I-Corps: Commercialization of the Video Collaboratory

I-Corps：视频协作的商业化

• 批准号: 1357625
• 负责人: Celine Latulipe
• 金额: $ 5万
• 依托单位: University of North Carolina at Charlotte
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1357625&HistoricalAwards=false
• 关键词: Corps; Commercialization; Video; Collaboratory

The project team is developing a web-based application designed for small group collaboration around video artifacts. Beyond simply viewing video, this application is equipped to allow users to dive in and analyze and annotate the video and to have discussions around the video artifact while either co-located or distributed. The application is designed to be a system that has features to enhance collaborative sense-making around video. There are few other systems designed for groups of people to privately work with video artifacts to transform the data embedded in video content into information and knowledge that can be used in creative pursuits and in analytics and decision making.The commercialization of this technology has the potential for broad societal impacts. Video capture is already ubiquitous and is only increasing, leading to millions of hours of video that is under-utilized across a wide spectrum of domains. This system, if made widely available through commercialization, can help people to work with video to transform the data in their video content into information and knowledge. The technology enables collaborative sense-making that can lead to more creative outcomes in art and design domains and to better understanding and better decision makings in complex environments such as medicine, science and defense.

该项目团队正在开发一款基于Web的应用程序，旨在围绕视频制品进行小组协作。除了简单地观看视频，这款应用程序还允许用户在同一位置或分布时深入视频并分析和注释视频，并围绕视频人工制品进行讨论。该应用程序被设计为一个具有增强围绕视频的协作感觉的功能的系统。很少有其他系统是为一群人私下处理视频制品而设计的，以将视频内容中嵌入的数据转换为可用于创造性追求、分析和决策的信息和知识。这项技术的商业化具有广泛的社会影响。视频捕获已经无处不在，而且还在不断增加，导致在广泛的领域中有数百万小时的视频未得到充分利用。该系统如果通过商业化得到广泛应用，可以帮助人们处理视频，将视频内容中的数据转化为信息和知识。这项技术使协作感知成为可能，从而在艺术和设计领域产生更具创造性的结果，并在医学、科学和国防等复杂环境中更好地理解和做出更好的决策。