StorVi (Story Visualization): A Text-to-Image Conversion
Kim D. Alcantara, Jomar P. Calandria, Junika S. Calupas, Jean Paula R. Echas, Ria A. Sagum · International Journal of Future Computer and Communication · 2014
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.