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dc.contributor.authorAhmed, Mohammed
dc.date.accessioned2021-05-25T19:23:27Z
dc.date.accessioned2022-03-29T20:15:50Z
dc.date.available2021-05-25T19:23:27Z
dc.date.available2022-03-29T20:15:50Z
dc.date.issued2021-05-25
dc.identifier.urihttps://hdl.handle.net/10155/1291
dc.description.abstractIn 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 sessionsen
dc.language.isoenen
dc.subjectinteractiveen
dc.subjectconference posteren
dc.titleA Framework for Interactive Conference Postersen
dc.typeThesisen


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