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The Visual Computer

, Volume 26, Issue 11, pp 1339–1348 | Cite as

Interactive motion photography from a single image

  • Okihide Teramoto
  • In Kyu ParkEmail author
  • Takeo Igarashi
Original Article

Abstract

In this paper, we present an interactive and computational method of creating a motion photograph from a single image. Inspired by cartoon arts, a motion photograph is a still image in which moving objects are depicted as informative and motion-evocative. With a still image that contains moving objects, the user can add and edit various motion effects by a simple but efficient user interface. As a result, the edited object conveys an effective motion effect without blurring the object. The proposed system is so user-friendly that novices can create motion photographs without any special skills. Furthermore, the extensible nature of the system means that new effects can be developed and plugged in. The experimental results and user study show that the proposed motion photography system can produce a variety of interesting motion photographs. Compared with general image editing tools (such as Photoshop), the proposed system can create high-quality motion photographs in a significantly shorter time.

Motion photograph Informative Evocative User interface Photoshop 

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References

  1. 1.
    Adobe Systems Inc.: Adobe Photoshop. http://www.adobe.com/products/photoshop
  2. 2.
    Bennett, E.P., McMillan, L.: Computational time-lapse video. ACM Trans. Graph. 26(3), 102 (2007) CrossRefGoogle Scholar
  3. 3.
    Brostow, G., Essa, I.: Image-based motion blur for stop motion animation. In: ACM SIGGRAPH, pp. 561–566 (2001) Google Scholar
  4. 4.
    Chi, M.T., Lee, T.Y., Qu, Y., Wong, T.T.: Self-animating images: Illusory motion using repeated asymmetric patterns. ACM Trans. Graph. 27(3), 62 (2008) CrossRefGoogle Scholar
  5. 5.
    Collomossea, J.P., Rowntreeb, D., Halla, P.: Rendering cartoon-style motion cues in post-production video. Graph. Models 67(6), 549–564 (2005) CrossRefGoogle Scholar
  6. 6.
    Cutting, J.E.: Representing motion in a static image: constraints and parallels in art, science, and popular culture. Perception 31(10), 1165–1193 (2002) CrossRefGoogle Scholar
  7. 7.
    Freeman, W.T., Adelson, E.H., Heeger, D.J.: Motion without movement. In: Proc. of ACM SIGGRAPH, pp. 27–30 (1991) Google Scholar
  8. 8.
    Furukawa, Y., Ponce, J.: Accurate, dense, and robust multi-view stereopsis. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8 (2007) Google Scholar
  9. 9.
    Goldman, D.B., Curless, B., Salesin, D., Seitz, S.M.: Schematic storyboarding for video visualization and editing. ACM Trans. Graph. 25(3), 862–871 (2006) CrossRefGoogle Scholar
  10. 10.
    Haller, M., Hanl, C., Diephuis, J.: Non-photorealistic rendering techniques for motion in computer games. ACM Comput. Entertain. 2(4), 11 (2004) CrossRefGoogle Scholar
  11. 11.
    Kass, M., Witkin, A., Terzopoulos, D.: Snakes: active contour models. Int. J. Comput. Vis. 1(4), 321–331 (1988) CrossRefGoogle Scholar
  12. 12.
    Kawagishi, Y., Hatsuyama, K., Kondo, K.: Cartoon blur: non-photorealistic motion blur. In: Proc. of Computer Graphics International, pp. 276–281 (2003) Google Scholar
  13. 13.
    Kim, B., Essa, I.: Video-based nonphotorealistic and expressive illustration of motion. In: Proc. of Computer Graphics International, pp. 32–35 (2005) Google Scholar
  14. 14.
    Masuch, M., Schlechtweg, S., Schulz, R.: Speedlines: depicting motion in motionless pictures. In: ACM SIGGRAPH Abstracts and Applications, p. 227 (1999) Google Scholar
  15. 15.
    Moriya, T., Takahashi, T., Tanaka, A.: Non-photorealistic rendering technique for depicting 3D objects motion. In: ACM SIGGRAPH Research Poster, 114 (2006) Google Scholar
  16. 16.
    Obayashi, S., Kondo, K., Konma, T., Iwamoto, K.: Non-photorealistic motion blur for 3D animation. In: ACM SIGGRAPH Sketches, 93 (2005) Google Scholar
  17. 17.
    Rother, C., Kolmogorov, V., Blake, A.: “Grabcut”: interactive foreground extraction using iterated graph cuts. ACM Trans. Graph. 23(3), 309–314 (2004) CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Okihide Teramoto
    • 1
  • In Kyu Park
    • 2
    Email author
  • Takeo Igarashi
    • 1
  1. 1.The University of TokyoTokyoJapan
  2. 2.School of Information and Communication EngineeringInha UniversityIncheonKorea

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