Article
- Authors:
- Sérgio M. Rebelo https://ror.org/04z8k9a98Department of Informatics Engineering, CISUC/LASI – Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal,
https://ror.org/04z8k9a98Department of Informatics Engineering, CISUC/LASI – Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal
http://orcid.org/0000-0002-7276-8727Search about this author
- J. J. Merelo https://ror.org/04njjy449Department of Computer Engineering, Automatics, and Robotics and CITIC, University of Granada, Granada, Spain,
https://ror.org/04njjy449Department of Computer Engineering, Automatics, and Robotics and CITIC, University of Granada, Granada, Spain
http://orcid.org/0000-0002-1385-9741Search about this author
- João Bicker https://ror.org/04z8k9a98Department of Informatics Engineering, CISUC/LASI – Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal,
https://ror.org/04z8k9a98Department of Informatics Engineering, CISUC/LASI – Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal
http://orcid.org/0000-0002-0670-1217Search about this author
- Penousal Machado https://ror.org/04z8k9a98Department of Informatics Engineering, CISUC/LASI – Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal
https://ror.org/04z8k9a98Department of Informatics Engineering, CISUC/LASI – Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, Coimbra, Portugal
http://orcid.org/0000-0002-6308-6484Search about this author
Artificial Intelligence in Music, Sound, Art and Design: 13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, ProceedingsApr 2024Pages 326–341https://doi.org/10.1007/978-3-031-56992-0_21
Published:03 April 2024Publication History
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Artificial Intelligence in Music, Sound, Art and Design: 13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings
Evaluation Metrics forAutomated Typographic Poster Generation
Pages 326–341
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Abstract
Computational Design approaches facilitate the generation of typographic design, but evaluating these designs remains a challenging task. In this paper, we propose a set of heuristic metrics for typographic design evaluation, focusing on their legibility, which assesses the text visibility, aesthetics, which evaluates the visual quality of the design, and semantic features, which estimate how effectively the design conveys the content semantics. We experiment with a constrained evolutionary approach for generating typographic posters, incorporating the proposed evaluation metrics with varied setups, and treating the legibility metrics as constraints. We also integrate emotion recognition to identify text semantics automatically and analyse the performance of the approach and the visual characteristics outputs.
References
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Artificial Intelligence in Music, Sound, Art and Design: 13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings
Apr 2024
430 pages
ISBN:978-3-031-56991-3
DOI:10.1007/978-3-031-56992-0
- Editors:
- Colin Johnson
https://ror.org/01ee9ar58University of Nottingham, Nottingham, UK
, - Sérgio M. Rebelo
https://ror.org/04z8k9a98University of Coimbra, Coimbra, Portugal
, - Iria Santos
https://ror.org/01qckj285University of Coruña, Coruña, Spain
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
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Publication History
- Published: 3 April 2024
Author Tags
- Computational Creativity
- Design Measures
- Evolutionary Design
- Graphic Design
- Layout
- Poster Design
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