Abstract
With the rapid advance in information technology, the applicability of computers has moved from the scientific field towards simulating human intelligence. We are already familiar with using computers to produce music and art and for language translation. A further use is in understanding traditional man-made products; best exemplified by literary works. In this study, we focus on enabling a computer to visualize the meaning of stories. Four world-famous plays by William Shakespeare have been chosen to demonstrate how the visualization scheme works in grasping the meaning of the stories. The scheme employs primitive keyword detection and ellipsoidal differential equations to create a visual imagery of the story. This methodology ensures uniqueness in the visualization of an individual work. In addition, color palettes obtained from pictures relevant to each story are used to enrich the consistency between the visual sense and the meaning of the story.
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Miyuki Yamada obtained a BA (Bachelor of Arts) in 2003 from Fuji Women’s University in Sapporo, Hokkaido and an MA (Master of Arts) in 2005 from Hokkaido University. Since 2005, she has been studying towards a Ph.D. in English literature at Hokkaido University. She has been employed as an English lecturer at Sapporo Otani University and Rakuno Gakuen University since 2007. Her interests are English literature, with an emphasis on William Shakespeare, English linguistics, English history, and English culture.
Yuichi Murai: He obtained an M.Sc (Eng) in Mechanical Engineering in 1993, and a Ph.D. in Mechanical Engineering in 1996, both from the University of Tokyo. He worked in the Department of Mechanical Engineering, Fukui University as a Research Associate from 1995 to 2000, and at the Imperial College, University of London during 2001-2002 as a JSPS fellow. Since 2003, he has been employed in the Graduate School of Engineering, Hokkaido University as an Associate Professor. His research interests are measurement techniques for fluid flows such as PIV, image processing, and visualization of complex flows.
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Yamada, M., Murai, Y. Story visualization of literary works. J Vis 12, 181–188 (2009). https://doi.org/10.1007/BF03181960
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DOI: https://doi.org/10.1007/BF03181960