Issue No. 09 - Sept. (2012 vol. 18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2011.273
Tong-Yee Lee , Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Wen-Chieh Lin , Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
I-Cheng Yeh , Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Hsin-Ju Han , Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Jehee Lee , Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea
Manmyung Kim , Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea
In a virtual world, a group of virtual characters can interact with each other, and these characters may leave a group to join another. The interaction among individuals and groups often produces interesting events in a sequence of animation. The goal of this paper is to discover social events involving mutual interactions or group activities in multicharacter animations and automatically plan a smooth camera motion to view interesting events suggested by our system or relevant events specified by a user. Inspired by sociology studies, we borrow the knowledge in Proxemics, social force, and social network analysis to model the dynamic relation among social events and the relation among the participants within each event. By analyzing the variation of relation strength among participants and spatiotemporal correlation among events, we discover salient social events in a motion clip and generate an overview video of these events with smooth camera motion using a simulated annealing optimization method. We tested our approach on different motions performed by multiple characters. Our user study shows that our results are preferred in 66.19 percent of the comparisons with those by the camera control approach without event analysis and are comparable (51.79 percent) to professional results by an artist.
virtual reality, cameras, computer animation, simulated annealing optimization method, social event driven camera control, multicharacter animations, virtual world, virtual characters, social events, group activities, mutual interactions, smooth camera motion, social network analysis, social force, Proxemics, spatiotemporal correlation, motion clip, Cameras, Trajectory, Animation, Social network services, Force, Particle measurements, Atmospheric measurements, social network analysis., MOCAP, multicharacter animation, event analysis
Tong-Yee Lee, Wen-Chieh Lin, I-Cheng Yeh, Hsin-Ju Han, Jehee Lee and Manmyung Kim, "Social-Event-Driven Camera Control for Multicharacter Animations," in IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 1496-1510, 2012.