Abstract
3D video, which is captured by multiple synchronized cameras and stored in mesh models, is emerging in recent years. However, the generation of 3D video is time-consuming and expensive. In this paper, we present an editing system to re-use 3D video efficiently. The hierarchical motion structure in 3D video is observed and parsed. Then, the representative motions are selected into a motion database, where the user can choose the desired motions. When synthesizing those chosen motions, the motion transition is optimized by a cost function. Some other information is also displayed in the interface to ease the editing. It should be mentioned that all the analysis and processing in our system are done in feature vector space.
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References
Kanade, T., Rander, P., Narayanan, P.: Virtualized reality: constructing virtual worlds from real scenes. IEEE Multimedia 4(1), 34–47 (1997)
Tomiyama, K., Orihara, Y., et al.: Algorithm for dynamic 3D object generation from multi-viewpoint images. In: Proc. of SPIE, vol. 5599, pp. 153–161 (2004)
Wurmlin, S., Lamboray, E., Staadt, O.G., Gross, M.H.: 3D video recorder. In: Proc. of Pacific Graphics 2002, pp. 325–334 (2002)
Carranza, J., Theobalt, C., Magnor, M.A., Seidel, H.P.: Free–Viewpoint Video of Human Actors. SIGGRAPH 2003 22(3), 569–577 (2003)
Hua, X., Lu, L., Zhang, H.J.: AVE-Automated Home Video Editing. In: Proc. of ACM Multimedia 2003, pp. 490–497 (2003)
Xu, J., Yamasaki, T., Aizawa, K.: Histogram-based Temporal Segmentation of 3D Video Using Spherical Coordinate System (in Japanese). IPSJ Trans. on Computer Vision and Image Media 47(SIG 10), 208–217 (2006)
Xu, G., Ma, Y.F., Zhang, H.J., Yang, S.Q.: An HMM–Based Framework for Video Semantic Analysis. IEEE Trans. on CSVT. 15(11), 1422–1433 (2005)
Starck, J., Miller, G., Hilton, A.: Video-Based Character Animation. In: ACM SCA 2005, pp. 49–58 (2005)
Xu, J., Yamasaki, T., Aizawa, K.: Motion Editing in 3D Video Database. In: 3DPVT (2006)
Christel, M., Winkler, D., Taylor, R., Smith, M.: Evolving Video Skims into Useful Multimedia Abstractions. In: CHI 1998, pp. 171–178 (1998)
Girgensohn, A., Boreczky, J., et al.: A Semi-Automatic Approach to Home Video Editing. In: ACM UIST 2000, pp. 81–89 (2000)
Boulic, R., Callennec, B.L., Herren, M., Bay, H.: Experimenting Prioritized IK for Motion Editing. In: EUROGRAPHICS (2003)
Chao, S.P., Chiu, C.Y., Chao, J.H., Yang, S.N., Lin, T.K.: Motion Retrieval and Its application to Motion Synthesis. In: ICDCS 2004, pp. 254–259 (2004)
Kovar, L., Gleicher, M., et al.: Motion Graphs. In: SIGGRAPH 2002, pp. 473–482 (2002)
Li, Y., Wang, T., Shum, H.Y.: Motion Texture: A Two-Level Statistical Model for Character Motion Synthesis. In: SIGGRAPH 2002, pp. 465–472 (2002)
Geng, W., Yu, G.: Reuse of Motion Capture Data in Animation: A Review. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds.) ICCSA 2003. LNCS, vol. 2667, pp. 620–629. Springer, Heidelberg (2003)
Xu, J., Yamasaki, T., Aizawa, K.: Key Frame Extraction in 3D Video by Rate-Distortion Optimization. In: IEEE ICME 2006, pp. 1–4 (2006)
Xu, J., Yamasaki, T., Aizawa, K.: 3D Video Segmentation Using Point Distance Histograms. In: IEEE ICIP 2005, pp. I-701–I-704 (2005)
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Xu, J., Yamasaki, T., Aizawa, K. (2006). Motion Structure Parsing and Motion Editing in 3D Video. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69423-6_70
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DOI: https://doi.org/10.1007/978-3-540-69423-6_70
Publisher Name: Springer, Berlin, Heidelberg
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