A Framework for Interactive Conference Posters

Abstract

In this paper, we present a complete framework for extending conference posters with interactive content. Poster content will become interactive, allowing viewers to manipulate visualizations, and save them for later. We used a web-based backend to allow authors to upload academic posters, and mask areas with interactive content. An image recognition model was trained on submitted posters using the Tensorflow framework [1], and deployed using a mobile application for use at poster sessions