Skip to main content

Generating Abstract Comics

  • Conference paper
  • First Online:
Interactive Storytelling (ICIDS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10045))

Included in the following conference series:

Abstract

We investigate a new approach to comic generation that explores the process of generating the contents of a panel given the contents of all previous panels. Our approach is based on leading discourse theories for comics by McCloud (panel transitions) and Cohn (narrative grammar), unified by cognitive theories of inference in visual language. We apply these theories to comics whose panel parameters are abstract geometric shapes and their positions, contributing a computational realization of McCloud’s and Cohn’s comics theories, as well as a modular algorithm that affords further experimentation and evaluation of visual discourse theories.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Textual here does not mean the use of actual text, but rather is a shorthand for surface code [19].

  2. 2.

    http://go.ncsu.edu/comicgen.

  3. 3.

    Symbols in parentheses are optional. In our expression of this grammar (and in several of Cohn’s examples), we also assume that prolongations may occur arbitrarily many times in sequence.

  4. 4.

    http://cmx.io/.

References

  1. Cohn, N.: The Visual Language of Comics: Introduction to the Structure and Cognition of Sequential Images. Bloomsbury, London (2013)

    Google Scholar 

  2. Cohn, N.: Narrative conjunction’s junction function: the interface of narrative grammar and semantics in sequential images. J. Pragmatics 88, 105–132 (2015)

    Article  Google Scholar 

  3. Cohn, N. (ed.): The Visual Narrative Reader. Bloomsbury Publishing, New York (2016)

    Google Scholar 

  4. Gerrig, R.J., Bernardo, A.B.I.: Readers as problem-solvers in the experience of suspense. Poetics 22(6), 459–472 (1994)

    Article  Google Scholar 

  5. Grice, H.P.: Logic and conversation. In: Cole, P., Morgan, J.L. (eds.) Syntax and Semantics 3: Speech Arts. Elsevier, New York (1975)

    Google Scholar 

  6. Heider, F., Simmel, M.: An experimental study of apparent behavior. Am. J. Psychol. 57(2), 243–259 (1944)

    Article  Google Scholar 

  7. Jhala, A., Young, R.M.: Cinematic visual discourse: representation, generation, and evaluation. IEEE Trans. Comput. Intell. AI Games 2(2), 69–81 (2010)

    Article  Google Scholar 

  8. Jhala, A., Young, R.M.: A discourse planning approach to cinematic camera control for narratives in virtual environments. In: AAAI, vol. 5, pp. 307–312 (2005)

    Google Scholar 

  9. Magliano, J.P., Kopp, K., Higgs, K., Rapp, D.N.:. Filling in the gaps: memory implications for inferring missing content in graphic narratives. Discourse Processes (2016)

    Google Scholar 

  10. Mani, I.: Computational modeling of narrative. Synth. Lect. Hum. Lang. Technol. 5(3), 1–142 (2012)

    Article  Google Scholar 

  11. McCloud, S.: Understanding Comics: The Invisible Art. Harper Collins, New York (1993)

    Google Scholar 

  12. Montfort, N., Fedorova, N.: Small-scale systems and computational creativity. In: Proceedings of the 3rd International Conference on Computational Creativity, pp. 82–86 (2012)

    Google Scholar 

  13. Myers, J.L., Shinjo, M., Duffy, S.A.: Degree of causal relatedness and memory. J. Mem. Lang. 26(4), 453–465 (1987)

    Article  Google Scholar 

  14. Pérez y Pérez, R., Morales, N., Rodríguez, L.: Illustrating a computer generated narrative. In: Proceedings of the 3rd International Conference on Computational Creativity, pp. 103–110 (2012)

    Google Scholar 

  15. Pérez y Pérez, R., Sharples, M.: MEXICA: a computer model of a cognitive account of creative writing. J. Exp. Theor. Artif. Intell. 13(2), 119–139 (2001)

    Article  Google Scholar 

  16. Pirolli, P.: Information Foraging Theory: Adaptive Interaction with Information. Oxford University Press, New York (2007)

    Book  Google Scholar 

  17. Saraceni, M.: Relatedness: aspects of textual connectivity in comics. In: Cohn, N. (ed.) The Visual Narrative Reader, Chap. 5, pp. 115–128. Bloomsbury (2016)

    Google Scholar 

  18. Smith, G., Whitehead, J.: Analyzing the expressive range of a level generator. In: Proceedings of the 2010 Workshop on Procedural Content Generation in Games at the 5th Interational Conference on the Foundations of Digital Games (2010)

    Google Scholar 

  19. Zwaan, R.A., Radvansky, G.A.: Situation models in language comprehension and memory. Psychol. Bull. 123(2), 162–185 (1998)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chris Martens .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Martens, C., Cardona-Rivera, R.E. (2016). Generating Abstract Comics. In: Nack, F., Gordon, A. (eds) Interactive Storytelling. ICIDS 2016. Lecture Notes in Computer Science(), vol 10045. Springer, Cham. https://doi.org/10.1007/978-3-319-48279-8_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-48279-8_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48278-1

  • Online ISBN: 978-3-319-48279-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics