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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2014Vol.3(5): 363-366 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2014.V3.328

StorVi (Story Visualization): A Text-to-Image Conversion

Kim D. Alcantara, Jomar P. Calandria, Junika S. Calupas, Jean Paula R. Echas, and Ria A. Sagum
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.

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