A stereoscopic method of identifying story patterns in literary works is newly developed. The pattern is extracted from textual information by the detection of thematically assigned keywords, and depicted as visual imageries. The applicability of the method is demonstrated in several of Shakespeare’s plays. The complex scenario patterns in Shakespeare’s tragedies are successfully captured with applying the method for two different themes in each play. As the result, the organization of story accompanying multiple themes in a single play has been obtained as a pair of visual imageries, i.e. stereoscopic story visualization. This approach, in combination with a quadrant analysis of the plots, allows us in interpretation further complexity of human psychology in the characters and scene-by-scene transitions in each play.
This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Price excludes VAT (USA)
Tax calculation will be finalised during checkout.
Andrews K, Kienreich W, Sabol V, Becker J, Droschl G, Kappe F, Granitzer M, Auer P, Tochtermann K (2002) The InfoSky visual explorer: exploiting hierarchical structure and document similarities. Inform Vis 1:166–181
Driver O (1986) Shakespeare and statistics. Science 231:1355–1355
Foster D (1997) A funeral elegy: William Shakespeare’s best-speaking witnesses. Shakespeare Stud 25:115–139
Havre S, Hetzler E, Whitney P, Nowell L, Theme R (2002) Visualizing thematic changes in large document collections. IEEE Trans Vis Comput Graph 8:9–20
Ido T, Murai Y (2006) A recursive interpolation algorithm for particle tracking velocimetry. Flow Measure Instrum 17:267–275
Ido T, Murai Y, Yamamoto F (2002) Postprocessing algorithm for particle tracking velocimetry based on ellipsoidal equations. Exp Fluids 32:326–336
Inami M, Saito Y, Horii K (2007) Analysis of literary works using wavelets transform. J Vis Soc Japan 28:44–49 (in Japanese)
Keim DA (2002) Information visualization and visual data mining. IEEE Trans Vis Comput Graph 8:1–8
Kolata G (1986) Shakespeare’s new poem: an ode to statistics. Science 231:335–336
Lee C, Lee GG, Jang M (2007) Dependency structure language model for topic detection and tracking. Inform Process Manage 43:1249–1259
Murai Y, Yamada M (2009) Visual imageries of Shakespeare’s plays. J Vis 12:5–5
Murai Y, Oishi Y, Tasaka Y, Takeda Y (2008) Particle tracking velocimetry applied for fireworks. J Vis 11:63–70
Rockwell G, Bradley J, Monger P (1999) Seeing the text through the trees: visualization and interactivity in text applications. Lit Linguist Comput 14:115–130
Shillingsburg PL (2006) From Gutenberg to Google: electronic representation of literary texts. The University of Cambridge Press, Cambridge
Singh S, Dey L (2005) A new customized document categorization scheme using rough membership. Appl Soft Comput 5:373–390
Spurgeon CFE (1935) Shakespeare’s imagery and what it tells us. Cambridge University Press, Cambridge
Yamada M, Murai Y (2009) Story visualization of literary works. J Vis 12:181–188
About this article
Cite this article
Yamada, M., Murai, Y. Stereoscopic story visualization in literary works demonstrated by Shakespeare’s plays. J Vis 13, 355–363 (2010). https://doi.org/10.1007/s12650-010-0050-1