DataQuilt: Extracting Visual Elements from Images to Craft Pictorial Visualizations
Published in Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI'20), 2020
Recommended citation: J. Zhang, N. Sultanum, A. Bezerianos, and F. Chevalier. 2020. DataQuilt: Extracting Visual Elements from Images to Craft Pictorial Visualizations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). ACM. 
We present DataQuilt, a novel system that enables visualization authors to iteratively design pictorial visualizations as collages. Real images (e.g., paintings, photographs, sketches) act as both inspiration and as a resource of visual elements that can be mapped to data.