Learning Style Similarity for Searching Infographics

Understand

Infographics are complex graphic designs integrating text, images, charts and sketches.

• Despite the increasing popularity of infographics and the rapid growth of online design portfolios, little research investigates how we can take advantage of these design resources.
• In this paper we present a method for measuring the style similarity between infographics.
• Based on human perception data collected from crowdsourced experiments, we use computer vision and machine learning algorithms to learn a style similarity metric for infographic designs.