@inproceedings{10.1145/3394171.3414356,
author = {Tang, Tan and Tang, Junxiu and Lai, Jiewen and Ying, Lu and Ren, Peiran and Yu, Lingyun and Wu, Yingcai},
title = {SmartShots: Enabling Automatic Generation of Videos with Data Visualizations Embedded},
year = {2020},
isbn = {9781450379885},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3394171.3414356},
doi = {10.1145/3394171.3414356},
abstract = {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.},
booktitle = {Proceedings of the 28th ACM International Conference on Multimedia},
pages = {4509–4511},
numpages = {3},
keywords = {data-driven videos, storytelling, visualization},
location = {Seattle, WA, USA},
series = {MM '20}
}