Saliency Diagrams
Abstract
Keyframes are a core notion used by animators to understand and describe the motion. In this paper, we take inspiration from keyframe animation to compute a feature that we call the “Saliency diagram” of the animation. To create our saliency diagrams, we visualize how often each frame becomes a keyframe when using an existing selection technique. Animators can use the resulting Saliency diagram to analyze the motion.
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References
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Jackie Assa, Daniel Cohen-Or, I-Cheng Yeh, and Tong-Yee Lee. 2008. Motion Overview of Human Actions. Transactions on Graphics 27, 5 (Dec. 2008), 115:1–115:10. https://doi.org/10.1145/1409060.1409068
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Ik Soo Lim and D. Thalmann. 2001. Key-posture Extraction Out of Human Motion Data. In Proceedings of the 23rd Annual International Conference of the IEEE, Vol. 2. 1167–1169. https://doi.org/10.1109/IEMBS.2001.1020399
[3]
Richard Roberts, J. P. Lewis, Ken Anjyo, Jaewoo Seo, and Yeongho Seol. 2019. Optimal and interactive keyframe selection for motion capture. Computational Visual Media 5, 2 (01 Jun 2019), 171–191.
[4]
Richard Williams. 2001. The Animator’s Survival Kit. Faber.
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Hiroshi Yasuda, Ryota Kaihara, Suguru Saito, and Masayuki Nakajima. 2008. Motion Belts: Visualization of Human Motion Data on a Timeline. IEICE Transactions on Information and Systems E91.D, 4, 1159–1167. https://doi.org/10.1093/ietisy/e91-d.4.1159
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Published In
November 2019
121 pages
ISBN:9781450369459
DOI:10.1145/3355088
Copyright © 2019 ACM.
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Association for Computing Machinery
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Publication History
Published: 17 November 2019
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SA '19
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