论文标题

DataTV:流媒体数据视频用于讲故事

DataTV: Streaming Data Videos for Storytelling

论文作者

Zhao, Zhenpeng, Elmqvist, Niklas

论文摘要

数据视频 - 包含可视化的运动图形 - 已被认为是传达思想的有效方法,但是创建此类视频需要时间和专业知识,从而无法实时创建和流式传输。我们介绍DataTV,该系统用于实时组合多个媒体来源。我们通过涉及研究人员使用DataTV原型的研究人员来验证我们的工作,为其当前项目创建一分钟的数据视频。结果表明,新方法有助于快速创建,并使用户能够专注于叙事而不是视频制作的机制。

Data videos -- motion graphics that incorporate visualizations -- have been recognized as an effective way to communicate ideas, but creating such video requires both time and expertise, precluding them from being created and streamed live. We introduce DataTV, a system for combining multiple media sources in real time. We validate our work through an expert review involving researchers using the DataTV prototype to create a one-minute data video for their current project. Results show that the new method facilitates rapid creation and enables users to focus on the narrative rather than mechanics of video production.

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