Open Access
Issue
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
Article Number 03032
Number of page(s) 5
Section Algorithm Study and Mathematical Application
DOI https://doi.org/10.1051/matecconf/201823203032
Published online 19 November 2018
  1. G Xia, H Sun, X Niu,et al. Keyframe Extraction for Human Motion Capture Data Based on Joint Kernel Sparse Representation. IEEE T IND ELECTRON, 64:1589-1599(2017). [CrossRef] [Google Scholar]
  2. C Gianluigi, S Raimondo. An Innovative Algorithm for Key Frame Extraction in Video Summarization. J REAL-TIME IMAGE PR, 1:69-88(2006). [CrossRef] [Google Scholar]
  3. QZ, S.P Y, D.S Zhou, et al. An Efficient Method of Key-frame Extraction Based on a Cluster Algorithm. J HUM KINET, 39:5-14(2013). [CrossRef] [Google Scholar]
  4. I.S Lim, D Thalmann. Key-posture extraction out of human motion data. Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society(IEEE). 1167-1169(2001). [Google Scholar]
  5. D.M Zhu, Z.Q Wang. Extraction of Keyframe from Motion Capture Data Based on Motion Sequence Se-gmentation. Journal of Computer-Aided Design & Computer Graphics, 20:787-792(2008). [Google Scholar]
  6. T Yang, H.J Sun, J Y. Extraction of keyframe from motion capture data based on quantum-behaved particle swarm optimization. Application Research of Computers, 31:2523-2527(2014). [Google Scholar]
  7. S.Y Li, J Hou, L.Y Gan. Extraction of Motion Key-frame Based on Inter-frame Pitch. Computer Engineering, 41:242-247(2015). [Google Scholar]
  8. T.Y Lee, C.H Lin, Y.S Wang, et al. Animation Key-Frame Extraction and Simplification Using Deformation Analysis. IEEE T CIRC SYST VID, 18:478-486(2008). [CrossRef] [Google Scholar]
  9. C Halit, T Capin. Multiscale motion saliency for keyframe extraction from motion capture sequences. COMPUT ANIMAT VIRT W, 22:3-14(2011). [CrossRef] [Google Scholar]
  10. Y.G Liu, J.G Liu. Keyframe Extraction from Motion Capture Data by Optimal Reconstruction Error. Journal of Computer-Aided Design & Computer Graphics, 22:670-675(2010). [CrossRef] [Google Scholar]
  11. S Mirjalili, S.M Mirjalili, A Lewis. Grey Wolf Optimizer. ADV ENG SOFTW, 69:46-61(2014). [CrossRef] [Google Scholar]
  12. E Emary, H.M Zawbaa, A.E Hassanien. Binary grey wolf optimization approaches for feature selection. Neurocomputing, 172:371-381(2016). [CrossRef] [Google Scholar]

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