在現今的社會中，我們可以隨處見到影像被用到各個地方，像是報章雜誌、網站或是兒童圖畫書中，影像可以加深讀者對文字的印象。對一般人而言，這些影像往往比周遭的文字來的更吸引人。尤其，童話故事的文本若以影像的視覺方式呈現，將更可吸引兒童的注意。 因此，本論文研究將文字形式的童話故事文本轉換為影像的視覺化技術。我們利用童話故事的敘事結構、角色等特性，將童話故事依故事劇情分段。從中找出代表每個段落主題與故事全文的關鍵字，並利用全球資訊網的影像搜尋引擎來找出初步的影像集合。最後再為每一段落找尋適合的影像，進而達到視覺化的效果。實驗結果顯示，本研究所提出的視覺化技術，在還原童話故事的敘事結構上，準確率約70%。 / 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.