TY - JOUR
T1 - SmartShots
T2 - An Optimization Approach for Generating Videos with Data Visualizations Embedded
AU - Tang, Tan
AU - Tang, Junxiu
AU - Lai, Jiewen
AU - Ying, Lu
AU - Wu, Yingcai
AU - Yu, Lingyun
AU - Ren, Peiran
N1 - Funding Information:
The reviewing of this article was managed by associate editor Chang, Remco. The work was supported by NSFC (61761136020), NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization (U1609217), and Zhejiang Provincial Natural Science Foundation (LR18F020001). This work was also supported by Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies and partially funded by Microsoft Research Asia. L. Yu was supported by XJTLU Research Development Funding RDF-19-02-11. Authors’ addresses: T. Tang, J. Tang, J. Lai, L. Ying, and Y. Wu (corresponding author), Zhejiang University; emails: {tantan, tangjunxiu, laijiewen, yingluu, ycwu}@zju.edu.cn; L. Yu, Xi’ian Jiaotong-Liverpool University; email: Lingyun.Yu@xjtlu.edu.cn; P. Ren, Alibaba Group; email: renpeiran@gmail.com. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM. 2160-6455/2022/02-ART4 $15.00 https://doi.org/10.1145/3484506
Publisher Copyright:
© 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2022/3
Y1 - 2022/3
N2 - Videos are well-received methods for storytellers to communicate various narratives. To further engage viewers, we introduce a novel visual medium where data visualizations are embedded into videos to present data insights. However, creating such data-driven videos requires professional video editing skills, data visualization knowledge, and even design talents. To ease the difficulty, we propose an optimization method and develop SmartShots, which facilitates the automatic integration of in-video visualizations. For its development, we first collaborated with experts from different backgrounds, including information visualization, design, and video production. Our discussions led to a design space that summarizes crucial design considerations along three dimensions: Visualization, embedded layout, and rhythm. Based on that, we formulated an optimization problem that aims to address two challenges: (1) embedding visualizations while considering both contextual relevance and aesthetic principles and (2) generating videos by assembling multi-media materials. We show how SmartShots solves this optimization problem and demonstrate its usage in three cases. Finally, we report the results of semi-structured interviews with experts and amateur users on the usability of SmartShots.
AB - Videos are well-received methods for storytellers to communicate various narratives. To further engage viewers, we introduce a novel visual medium where data visualizations are embedded into videos to present data insights. However, creating such data-driven videos requires professional video editing skills, data visualization knowledge, and even design talents. To ease the difficulty, we propose an optimization method and develop SmartShots, which facilitates the automatic integration of in-video visualizations. For its development, we first collaborated with experts from different backgrounds, including information visualization, design, and video production. Our discussions led to a design space that summarizes crucial design considerations along three dimensions: Visualization, embedded layout, and rhythm. Based on that, we formulated an optimization problem that aims to address two challenges: (1) embedding visualizations while considering both contextual relevance and aesthetic principles and (2) generating videos by assembling multi-media materials. We show how SmartShots solves this optimization problem and demonstrate its usage in three cases. Finally, we report the results of semi-structured interviews with experts and amateur users on the usability of SmartShots.
KW - Visualization
KW - data-driven videos
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85127796834&partnerID=8YFLogxK
U2 - 10.1145/3484506
DO - 10.1145/3484506
M3 - Article
AN - SCOPUS:85127796834
SN - 2160-6455
VL - 12
JO - ACM Transactions on Interactive Intelligent Systems
JF - ACM Transactions on Interactive Intelligent Systems
IS - 1
M1 - 4
ER -