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Evolutionary Typesetting: An Automatic Approach Towards the Generation of Typographic Posters from Tweets

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Interactivity and Game Creation (ArtsIT 2020)

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Abstract

The recent developments on Artificial Intelligence are expanding the tools, methods, media, and production processes on Graphic Design. Poster designs are no exception. In this paper, we present a web system that generates letterpress-inspired typographic posters using, as content, tweets posted online. The proposed system employs Natural Language Understanding approaches to recognise the emotions, the sentiments, and the colours associated with the content. Also, the system employs an Evolutionary Computation approach to generate and evolve a population of poster designs. The outputs are evaluated according to their legibility, aesthetics, and semantics, throughout an automatic fitness assignment hybrid scheme that combines a hardwired fitness function part with a multi-objective optimisation approach part. We experimented with the system to perceive its behaviour and its ability to evolve posters from contents with distinct textual purposes and lengths.

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Acknowledgments

This work is partially supported by national funds through the Foundation for Science and Technology (FCT), Portugal, within the scope of the project UID/CEC/00326/2019. The first author is funded by FCT under the grant SFRH/BD/132728/2017.

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Authors and Affiliations

  1. Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Sérgio M. Rebelo, João Bicker & Penousal Machado

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  1. Sérgio M. Rebelo
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  2. João Bicker
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  3. Penousal Machado
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Correspondence to Sérgio M. Rebelo .

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Editors and Affiliations

  1. Department of Software and Media, Aalborg University, Aalborg, Denmark

    Anthony Brooks

  2. Aalborg University, Aalborg, Denmark

    Eva Irene Brooks

  3. RMIT University, Melbourne, VIC, Australia

    Duckworth Jonathan

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Rebelo, S.M., Bicker, J., Machado, P. (2021). Evolutionary Typesetting: An Automatic Approach Towards the Generation of Typographic Posters from Tweets. In: Brooks, A., Brooks, E.I., Jonathan, D. (eds) Interactivity and Game Creation. ArtsIT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 367. Springer, Cham. https://doi.org/10.1007/978-3-030-73426-8_21

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  • DOI: https://doi.org/10.1007/978-3-030-73426-8_21

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  • Online ISBN: 978-3-030-73426-8

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