| Autor: |
Jean Paula R. Echas, Jomar P. Calandria, Ria A. Sagum, Kim D. Alcantara, Junika S. Calupas |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
International Journal of Future Computer and Communication. 3:363-366 |
| ISSN: |
2010-3751 |
| DOI: |
10.7763/ijfcc.2014.v3.328 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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