“Motion overview of human actions”
Conference:
Type(s):
Title:
- Motion overview of human actions
Session/Category Title: Character animation I
Presenter(s)/Author(s):
Abstract:
During the last decade, motion capture data has emerged and gained a leading role in animations, games and 3D environments. Many of these applications require the creation of expressive overview video clips capturing the human motion, however sufficient attention has not been given to this problem. In this paper, we present a technique that generates an overview video based on the analysis of motion capture data. Our method is targeted for applications of 3D character based animations, automating, for example, the action summary and gameplay overview in simulations and computer games. We base our method on quantum annealing optimization with an objective function that respects the analysis of the character motion and the camera movement constraints. It automatically generates a smooth camera control path, splitting it to several shots if required. To evaluate our method, we introduce a novel camera placement metric which is evaluated against previous work and conduct a user study comparing our results with the various systems.
References:
1. Apolloni, B., Carvalho, C., and de Falco, D. 1989. Quantum stochastic optimization. Stochastic Processes and their Applications 33, 2 (Dec), 233–244.Google Scholar
2. Arijon, D. 1976. Grammar of the film language. Silman-James Press.Google Scholar
3. Assa, J., Caspi, Y., and Cohen-Or, D. 2005. Action synopsis: Pose selection and illustration. In SIGGRAPH 2005 Conference Proceedings, ACM, vol. 24, 667–676. Google Scholar
4. Bares, W. H., and Lester, J. C. 1999. Intelligent multi-shot 3d visualization interfaces. Knowl.-Based Syst. 12, 8, 403–412.Google ScholarDigital Library
5. Bares, W. H., Thainimit, S., and McDermott, S. 2000. A model for constraint-based camera planning. In Smart Graphics, Papers from the 2000 AAAI Spring Symposium, AAAI Press, vol. 4, 84–91.Google Scholar
6. Barr, A. H., Currin, B., Gabriel, S., and Hughes, J. F. 1992. Smooth interpolation of orientations with angular velocity constraints using quaternions. In SIGGRAPH 1992 Conference Proceedings, ACM, vol. 26, 313–320. Google Scholar
7. Benhamou, F., Goualard, F., Langueéou, E., and Christie, M. 2004. Interval constraint solving for camera control and motion planning. ACM Transactions on Computational Logic 5, 4, 732–767. Google ScholarDigital Library
8. Blanz, V., Tarr, M. J., and Bülthoff, H. H. 1999. What object attributes determine canonical views. Perception 28, 5, 575–600.Google ScholarCross Ref
9. Christianson, D. B., Anderson, S. E., wei He, L., Salesin, D. H., Weld, D. S., and Cohen, M. F. 1996. Declarative camera control for automatic cinematography. In AAAI/IAAI, Vol. 1, 148–155. Google ScholarDigital Library
10. Christie, M., and Olivier, P. 2006. Camera control in computer graphics. In Eurographics 2006 Star Report, 89–113.Google Scholar
11. Christie, M., Machap, R., Normand, J.-M., Olivier, P., and Pickering, J. 2005. Virtual camera planning: A survey. In Smart Graphics, 40–52. Google Scholar
12. DeMenthon, D., Kobla, V., and Doermann, D. 1998. Video summarization by curve simplification. In MULTIMEDIA ’98: Proceedings of the 6th ACM international conference on Multimedia, ACM, 211–218. Google Scholar
13. Drucker, S. M., and Zeltzer, D. 1994. Intelligent camera control in a virtual environment. In Proceedings of Graphics Interface ’94, 190–199.Google Scholar
14. Gleicher, M., and Witkin, A. 1992. Through-the-lens camera control. In SIGGRAPH 1992 conference proceedings, ACM, New York, NY, USA, 331–340. Google Scholar
15. Gómez, F., Hurtado, F., Sellares, J. A., and Toussaint, G. T. 2001. Nice perspective projections. Journal of Visual Communication and Image Representation 12, 4, 387–400.Google ScholarDigital Library
16. Gooch, B., Reinhard, E., Moulding, C., and Shirley, P. 2001. Artistic composition for image creation. In Proceedings of the 12th Eurographics Workshop on Rendering Techniques, Springer-Verlag, London, UK, 83–88. Google ScholarDigital Library
17. Halper, N., and Olivier, P. 2000. Camplan: A camera planning agent. In AAAI 2000 Spring Symposium on Smart Graphics, AAAI Press, 92–100.Google Scholar
18. Halper, N., Helbing, R., and Strothotte, T. 2001. A camera engine for computer games: Managing the trade-off between constraint satisfaction and frame coherence. In EG 2001 Proceedings, Blackwell Publishing, vol. 20(3), 174–183.Google Scholar
19. He, L.-W., Cohen, M. F., and Salesin, D. H. 1996. The virtual cinematographer: a paradigm for automatic real-time camera control and directing. In SIGGRAPH 1996 Conference Proceedings, ACM, 217–224. Google Scholar
20. Jardillier, F., and Languénou, E. 1998. Screen-space constraints for camera movements: the virtual cameraman. Computer Graphics Forum 17, 3, 175–186. ISSN 1067–7055.Google ScholarCross Ref
21. Kamada, T., and Kawai, S. 1988. A simple method for computing general position in displaying three-dimensional objects. Computer Vision, Graphics, and Image Processing 41, 1, 43–56. Google ScholarDigital Library
22. Katz, S. D. 1991. Film Directing Shot by Shot: Visualizing from Concept to Screen. Michael Wiese Productions.Google Scholar
23. Kwon, J.-Y., and Lee, I.-K. 2008. Detemination of camera parameters for character motions using motion area. The Visual Computer 24, 475–483. Google ScholarDigital Library
24. Laptev, I., and Lindeberg, T. 2003. Space-time interest points. In ICCV ’03: Proceedings of the Ninth IEEE International Conference on Computer Vision, IEEE Computer Society, Washington, DC, USA, 432. Google ScholarDigital Library
25. Lee, J., Chai, J., Reitsma, P. S. A., Hodgins, J. K., and Pollard, N. S. 2002. Interactive control of avatars animated with human motion data. In SIGGRAPH 2002 Conference Proceedings, ACM, vol. 21, 491–500. Google Scholar
26. Lee, C. H., Varshney, A., and Jacobs, D. W. 2005. Mesh saliency. In SIGGRAPH 2005 Conference Proceedings, ACM, vol. 24, 659–666. Google Scholar
27. Lin, T.-C., Shih, Z.-C., and Tsai, Y.-T. 2004. Cinematic camera control in 3d computer games. In WSCG, 289–296.Google Scholar
28. Mascelli, J. V. 1965. The Five C’s of Cinematography: Motion Picture Filming Techniques. Cine/Graphic Publications.Google Scholar
29. McCabe, H., and Kneafsey, J. 2006. A virtual cinematography system for first person shooter games. In Proceedings of International Digital Games Conference, 25–35.Google Scholar
30. Page, D. L., Koschan, A., Sukumar, S. R., Roui-Abidi, B., and Abidi, M. A. 2003. Shape analysis algorithm based on information theory. In ICIP (1), 229–232.Google Scholar
31. Palmer, S., Rosch, E., and Chase, P. 1981. Canonical perspective and the perception of objects. Attention and Performance IX, 135–151.Google Scholar
32. Park, M. J., and Shin, S. Y. 2004. Example-based motion cloning. Computer Animation Virtual Worlds 15, 3–4, 245–257. Google ScholarCross Ref
33. Pickering, J. H. 2002. Intelligent Camera Planning for Computer Graphics. PhD thesis, University of York.Google Scholar
34. Polonsky, O., Patanè, G., Biasotti, S., Gotsman, C., and Spagnuolo, M. 2005. What’s in an image: Towards the computation of the “best” view of an object. The Visual Computer 21, 8–10, 840–847.Google ScholarCross Ref
35. Shoemake, K. 1985. Animating rotation with quaternion curves. In SIGGRAPH 1985 Conference Proceedings, ACM, 245–254. Google Scholar
36. Sokolov, D., and Plemenos, D. 2008. Virtual world explorations by using topological and semantic knowledge. Vis. Comput. 24, 3, 173–185. Google ScholarDigital Library
37. Vázquez, P.-P., Feixas, M., Sbert, M., and Heidrich, W. 2003. Automatic view selection using viewpoint entropy and its application to image-based modelling. Computer Graphics Forum 22, 4, 689–700.Google ScholarCross Ref
