International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Toon Image Generation of Main Characters in a Comic from Object Diagram via Natural Language Based Requirement Specifications

  • Janghwan Kim (Dept. of Software and Communication Engineering, Hongik University) ;
  • Jihoon Kong (Toonsquare) ;
  • Hee-Do Heo (NHN Crossent) ;
  • Sam-Hyun Chun (Dept. of Law, Soongsil University) ;
  • R. Young Chul Kim (Dept. of Software and Communication Engineering, Hongik University)
  • Received : 2024.01.23
  • Accepted : 2024.02.05
  • Published : 2024.03.31
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Abstract

Currently, generative artificial intelligence is a hot topic around the world. Generative artificial intelligence creates various images, art, video clips, advertisements, etc. The problem is that it is very difficult to verify the internal work of artificial intelligence. As a requirements engineer, I attempt to create a toon image by applying linguistic mechanisms to the current issue. This is combined with the UML object model through the semantic role analysis technique of linguists Chomsky and Fillmore. Then, the derived properties are linked to the toon creation template. This is to ensure productivity based on reusability rather than creativity in toon engineering. In the future, we plan to increase toon image productivity by incorporating software development processes and reusability.

Keywords

Acknowledgement

This study was conducted with the support of the Korea Creative Content Agency (Task Name: Artificial Intelligence-based User Interactive Storytelling 3D Scene Authoring Technology Development, Task Number: RS-2023-00227917, Contribution Rate: 70%) and the Basic Research Project of the Korea Research Foundation (Task Name: Non-defective Research through automatic refactoring based on the NLP BERT Model, Task Number: No.2021R1I1A3050407, Contribution Rate: 15%) with the support of the Korea Creative Content Agency (Task Name: No.2021R1A3050407, Contribution Rate: 15%).

References

  1. H. Park, A Case Study On Application Of Text To Image Generator AI DALL. E. The Treatise on The Plastic Media, 26(1), 104.
  2. E. Creely, "The possibilities, limitations, and dangers of generative AI in language learning and literacy practices." International Graduate Research Symposium 2023. Proceedings. University of languages and International Studies (ULIS). Hanoi, Vietnam.
  3. M. Ibrahim and R. Ahmad, "Class Diagram Extraction from Textual Requirements Using Natural Language Processing (NLP) Techniques," 2010 Second International Conference on Computer Research and Development, Kuala Lumpur, Malaysia, 2010, pp. 200-204, doi: 10.1109/ICCRD.2010.71.
  4. Chomsky, Noam. Syntactic structures. Mouton de Gruyter, 2002.
  5. M. Ahmed, I. Sameer, and M. Heeti. "The Semantic Roles Which Cause Difficulty To The Fourth Year Students Of English At The University Of Anbar." Opcion: Revista de Ciencias Humanas y Sociales 89 2019.
  6. C. J. Fillmore, (1967). "The case for case."
  7. S. Schuster and C. D. Manning. 2016. Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks. In LREC 2016.