VizStory

Visualization of digital narrative for fairy tales

Chieh Jen Huang, Cheng-Te Li, Man Kwan Shan

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Pictures can realize the impressions of texts for readers, especially for fairy tales. If we can present the fairy stories in the form of visual pictures, children will not only be more willing to concentrate their attentions on but also easily perceive the underlying messages. This work aims to present the fairy tales by transforming the texts to the visual form of pictures. To achieve such goal, we develop a system, VizStory, which consists of three steps. First, we investigate the narrative structure of the story to segment the whole story. Second, we select representative keywords for each segment. Third, through Web image search, we find suitable pictures to compose the visualization. Experimental results with human study show VizStory can present the narrative of stories with 75% accuracy.

Original languageEnglish
Pages67-72
Number of pages6
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013 - Taipei, Taiwan
Duration: 2013 Dec 62013 Dec 8

Other

Other2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013
CountryTaiwan
CityTaipei
Period13-12-0613-12-08

Fingerprint

Visualization

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Huang, C. J., Li, C-T., & Shan, M. K. (2013). VizStory: Visualization of digital narrative for fairy tales. 67-72. Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan. https://doi.org/10.1109/TAAI.2013.26
Huang, Chieh Jen ; Li, Cheng-Te ; Shan, Man Kwan. / VizStory : Visualization of digital narrative for fairy tales. Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan.6 p.
@conference{0f713f704eff4147b3dbe7cd6f4d9882,
title = "VizStory: Visualization of digital narrative for fairy tales",
abstract = "Pictures can realize the impressions of texts for readers, especially for fairy tales. If we can present the fairy stories in the form of visual pictures, children will not only be more willing to concentrate their attentions on but also easily perceive the underlying messages. This work aims to present the fairy tales by transforming the texts to the visual form of pictures. To achieve such goal, we develop a system, VizStory, which consists of three steps. First, we investigate the narrative structure of the story to segment the whole story. Second, we select representative keywords for each segment. Third, through Web image search, we find suitable pictures to compose the visualization. Experimental results with human study show VizStory can present the narrative of stories with 75{\%} accuracy.",
author = "Huang, {Chieh Jen} and Cheng-Te Li and Shan, {Man Kwan}",
year = "2013",
month = "1",
day = "1",
doi = "10.1109/TAAI.2013.26",
language = "English",
pages = "67--72",
note = "2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013 ; Conference date: 06-12-2013 Through 08-12-2013",

}

Huang, CJ, Li, C-T & Shan, MK 2013, 'VizStory: Visualization of digital narrative for fairy tales' Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, 13-12-06 - 13-12-08, pp. 67-72. https://doi.org/10.1109/TAAI.2013.26

VizStory : Visualization of digital narrative for fairy tales. / Huang, Chieh Jen; Li, Cheng-Te; Shan, Man Kwan.

2013. 67-72 Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan.

Research output: Contribution to conferencePaper

TY - CONF

T1 - VizStory

T2 - Visualization of digital narrative for fairy tales

AU - Huang, Chieh Jen

AU - Li, Cheng-Te

AU - Shan, Man Kwan

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Pictures can realize the impressions of texts for readers, especially for fairy tales. If we can present the fairy stories in the form of visual pictures, children will not only be more willing to concentrate their attentions on but also easily perceive the underlying messages. This work aims to present the fairy tales by transforming the texts to the visual form of pictures. To achieve such goal, we develop a system, VizStory, which consists of three steps. First, we investigate the narrative structure of the story to segment the whole story. Second, we select representative keywords for each segment. Third, through Web image search, we find suitable pictures to compose the visualization. Experimental results with human study show VizStory can present the narrative of stories with 75% accuracy.

AB - Pictures can realize the impressions of texts for readers, especially for fairy tales. If we can present the fairy stories in the form of visual pictures, children will not only be more willing to concentrate their attentions on but also easily perceive the underlying messages. This work aims to present the fairy tales by transforming the texts to the visual form of pictures. To achieve such goal, we develop a system, VizStory, which consists of three steps. First, we investigate the narrative structure of the story to segment the whole story. Second, we select representative keywords for each segment. Third, through Web image search, we find suitable pictures to compose the visualization. Experimental results with human study show VizStory can present the narrative of stories with 75% accuracy.

UR - http://www.scopus.com/inward/record.url?scp=84899422429&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899422429&partnerID=8YFLogxK

U2 - 10.1109/TAAI.2013.26

DO - 10.1109/TAAI.2013.26

M3 - Paper

SP - 67

EP - 72

ER -

Huang CJ, Li C-T, Shan MK. VizStory: Visualization of digital narrative for fairy tales. 2013. Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan. https://doi.org/10.1109/TAAI.2013.26