Title :
VizStory: Visualization of Digital Narrative for Fairy Tales
Author :
Chieh-Jen Huang ; Cheng-Te Li ; Man-Kwan Shan
Author_Institution :
Dept. of Comput. Sci., Nat. Chengchi Univ., Taipei, Taiwan
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.
Keywords :
Internet; data visualisation; image retrieval; literature; VizStory; Web image search; digital narrative visualization; fairy tales; representative keywords; story narrative structure; story segmentation; visual pictures; Accuracy; Context; Feature extraction; Image segmentation; Mirrors; Snow; Visualization; Digital Narrative; Fairy Tales; Image Retrieval; Story Telling; Visualization;
Conference_Titel :
Technologies and Applications of Artificial Intelligence (TAAI), 2013 Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4799-2528-5
DOI :
10.1109/TAAI.2013.26
