| Summary: | 碩士 === 國立政治大學 === 資訊科學學系 === 98 === Stories are often accompanied with images, in order to emphasize the effect of stories. In particular, most fairy tales written for children are decorated by images to attract children’s interest.
This thesis focuses on story visualization technology which transforms text of a fairy tale into s series of visual images. The proposed visualization technology is developed based on the narrative structure of fairy tales. First, the input fairy tale is divided into segments in accordance with the plot of the story. Then, global keywords for the whole story and segment keywords for each segment are extracted. Moreover, expanded keywords which are important but infrequent in each segment are discovered. These three types of keywords are fed into Web Image Search Engine to find the initial image set. At last, the proposed system filters out the irrelevant images from the initial image set, and selects the representative image for each segment. Experiments show that the proposed method achieves 70% accuracy for the reconstruction of narrative structures of fairy tales.
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