Understanding the changes of time-series is a common task in many application domains. Converting time-series data into videos helps an audience with little or no background knowledge gain insights and deep impressions. It essentially integrates data visualizations and animations to present the evolution of data expressively. However, it remains challenging to create this kind of data video. First, it is difficult to efficiently detect important changes and include them in the video sequence. Existing methods require much manual effort to explore the data and find changes. Second, how these changes are emphasized in the videos is also worth studying. A video without emphasis will hinder an audience from noticing those important changes. This article presents an approach that extracts and visualizes important changes of a time-series. Users can explore and modify these changes, and apply visual effects on them. Case studies and user feedback demonstrate the effectiveness and usability of our approach.

中文翻译：

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用数据视频说明时间序列数据的变化

理解时间序列的变化是许多应用领域的常见任务。将时间序列数据转换为视频可以帮助几乎没有背景知识的观众获得洞察力和深刻印象。它本质上集成了数据可视化和动画，以富有表现力的方式呈现数据的演变。然而，创建这种数据视频仍然具有挑战性。首先，很难有效地检测重要的变化并将它们包含在视频序列中。现有方法需要大量手动操作来探索数据并发现变化。其次，视频中如何强调这些变化也值得研究。没有重点的视频会阻碍观众注意到这些重要的变化。本文介绍了一种提取和可视化时间序列重要变化的方法。用户可以探索和修改这些更改，并对它们应用视觉效果。案例研究和用户反馈证明了我们方法的有效性和可用性。