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International Conference on Computational Intelligence in Music, Sound, Art and Design

EvoMUSART 2016: Evolutionary and Biologically Inspired Music, Sound, Art and Design pp 126–134Cite as

Animating Typescript Using Aesthetically Evolved Images

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9596))

Abstract

The genotypic functions from apriori aesthetically evolved images are mutated progressively and their phenotypes sequenced temporally to produce animated versions. The animated versions are mapped onto typeface and combined spatially to produce animated typescript. The output is then discussed with reference to computer aided design and machine learning.

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Notes

  1. 1.

    It is interesting that this “junk DNA” accumulates in AE images, as it apparently does in natural beings.

References

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Author information

Authors and Affiliations

  1. School of Computing, The University of Kent, Canterbury, UK

    Ashley Mills

Authors
  1. Ashley Mills
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Correspondence to Ashley Mills .

Editor information

Editors and Affiliations

  1. University of Kent, Canterbury, United Kingdom

    Colin Johnson

  2. RMIT University, Melbourne, Victoria, Australia

    Vic Ciesielski

  3. University of Coimbra, Coimbra, Portugal

    João Correia

  4. University of Coimbra, Coimbra, Portugal

    Penousal Machado

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© 2016 Springer International Publishing Switzerland

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Mills, A. (2016). Animating Typescript Using Aesthetically Evolved Images. In: Johnson, C., Ciesielski, V., Correia, J., Machado, P. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2016. Lecture Notes in Computer Science(), vol 9596. Springer, Cham. https://doi.org/10.1007/978-3-319-31008-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-31008-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31007-7

  • Online ISBN: 978-3-319-31008-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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