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SmartShots: Enabling Automatic Generation of Videos with Data Visualizations Embedded

  • Tan Tang
  • , Junxiu Tang
  • , Jiewen Lai
  • , Lu Ying
  • , Peiran Ren
  • , Lingyun Yu
  • , Yingcai Wu*
  • *Corresponding author for this work
  • Zhejiang University
  • University of California at Berkeley
  • Georgia Institute of Technology
  • Alibaba Group Holding Ltd.

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 28th ACM International Conference on Multimedia
Pages4509-4511
Number of pages3
DOIs
Publication statusPublished - 12 Oct 2020
Event28th ACM International Conference on Multimedia, MM 2020 - Virtual, Online, United States
Duration: 12 Oct 202016 Oct 2020

Conference

Conference28th ACM International Conference on Multimedia, MM 2020
Country/TerritoryUnited States
CityVirtual, Online
Period12/10/2016/10/20

Keywords

  • data-driven videos
  • storytelling
  • visualization

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