Title | ||
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SmartShots: Enabling Automatic Generation of Videos with Data Visualizations Embedded |
Abstract | ||
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Videos become prevalent for storytellers to inspire viewers' interests. To further enhance narrations, visualizations are integrated into videos to present data-driven insights. However, manually crafting such data-driven videos is difficult and time-consuming. Thus, we present SmartShots, a system that facilitates the automatic integration of in-video visualizations. Specifically, we propose a computational framework that integrates non-verbal video clips, images, a melody, and a data table to create a video with data visualizations embedded. The system automatically translates the multi-media material into shots and then combines the shots into a compelling video. In addition, we develop a set of post-editing interactions to incorporate users' design knowledge and help them re-edit the automatically-generated videos.
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Year | DOI | Venue |
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2020 | 10.1145/3394171.3414356 | MM '20: The 28th ACM International Conference on Multimedia
Seattle
WA
USA
October, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7988-5 | 1 |
PageRank | References | Authors |
0.35 | 5 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tan Tang | 1 | 34 | 4.36 |
Junxiu Tang | 2 | 13 | 2.23 |
Jiewen Lai | 3 | 1 | 2.71 |
Lu Ying | 4 | 3 | 1.03 |
Peiran Ren | 5 | 162 | 11.58 |
Lingyun Yu | 6 | 55 | 11.26 |
Yingcai Wu | 7 | 1223 | 61.26 |