Towards automated infographic design: Deep learning-based auto-extraction of extensible timeline

• Main Authors: CHEN, Zhutian, WANG, Yun, WANG, Qianwen, WANG, Yong, QU, Huamin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Automated Infographic Design; Deep Learning-based Approach; Timeline Infographics; Multi-task Model; Graphic Communications; Graphics and Human Computer Interfaces; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5353; https://ink.library.smu.edu.sg/context/sis_research/article/6357/viewcontent/1907.13550___PV.pdf
• Institution: Singapore Management University

Designers need to consider not only perceptual effectiveness but also visual styles when creating an infographic. This process can be difficult and time consuming for professional designers, not to mention non-expert users, leading to the demand for automated infographics design. As a first step, we...