doi: 10.7763/IJFCC.2014.V3.328
StorVi (Story Visualization): A Text-to-Image Conversion
Kim D. Alcantara
2
,
Jomar P. Calandria
2
,
Junika S. Calupas
2
,
Jean Paula R. Echas
2
,
Ria A. Sagum
1
- 1 College of Computer and Information Sciences, Polytechnic University of the Philippines.
- 2 undergraduates of the Polytechnic University of the Philippines.
Abstract
Natural language is an easy and effective mediumfor describing visual ideas and mental images. thus, we forecastthe appearance of language-based 2D scene generation systemsto let ordinary users fast create 2D scenes without having tolearn special software, obtain imaginative skills, or even touch adesktop window-oriented interface. This research presented bythe researchers entitled “StorVi (story visualization): atext-to-image conversion”, is a system that can visualize storiesof multiple framing in pictures. the system focus on fable storiesfor children ages 4-7 yrs. old. Recognizing the characters andpartitioning of frames are the general problems of the study. Insolving the two general problems, the researchers usedclassification algorithm/simple co-reference resolutionalgorithm an algorithm for recognizing the characters and usedthe rule to partition the frames by sentence with character/s forthe partitioning of frames.
Keywords
- 2D Scene
- database
- StorVi
- text-to-image
- wordseye
How to Cite
Kim D. Alcantara, Jomar P. Calandria, Junika S. Calupas, Jean Paula R. Echas, and Ria A. Sagum, "StorVi (Story Visualization): A Text-to-Image Conversion," International Journal of Future Computer and Communication, vol. 3, no. 5, pp. 363-366, 2014. https://doi.org/ 10.7763/IJFCC.2014.V3.328
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).