Abstract—Natural language is an easy and effective medium
for describing visual ideas and mental images. thus, we forecast
the appearance of language-based 2D scene generation systems
to let ordinary users fast create 2D scenes without having to
learn special software, obtain imaginative skills, or even touch a
desktop window-oriented interface. This research presented by
the researchers entitled “StorVi (story visualization): a
text-to-image conversion”, is a system that can visualize stories
of multiple framing in pictures. the system focus on fable stories
for children ages 4-7 yrs. old. Recognizing the characters and
partitioning of frames are the general problems of the study. In
solving the two general problems, the researchers used
classification algorithm/simple co-reference resolution
algorithm an algorithm for recognizing the characters and used
the rule to partition the frames by sentence with character/s for
the partitioning of frames.
Index Terms—2D Scene, database, StorVi, text-to-image,
wordseye.
R. A. Sagum is with the College of Computer and Information Sciences,
Polytechnic University of the Philippines (e-mail: riasagum31@yahoo.com).
K. D. Alcantara, J. S. Calupas, J. P. Calandria, J. R. Echas are with the
undergraduates of the Polytechnic University of the Philippines (email:
kdalcantara@yahoo.com, nikacalupas@yahoo.com,
jomarcalandria@yahoo.com, heartjean2002@yahoo.com).
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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.
