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Optimized MPEG-4 animation encoder for motion capture data

Published: 15 April 2007 Publication History

Abstract

This paper presents first compression results on using the MPEG-4 BBA standard for encoding motion capture data. We first introduce a detailed description of the main compression mechanisms used in recently BBA standard: prediction, frequency transform, quantization and entropy encoder and discuss the theoretical range of encoding performances. Then we introduce an optimized BBA encoder including also a key-frame reduction mechanism and show the compression results on animation files from typical motion capture data-base. We compare the results with the ones reported in literature showing the advantages of the MPEG-4 BBA in terms of bit-rate, complexity and range control.

References

[1]
Jang, E. S., Kim, J. D. K., Jung, S. Y., Han, M. J., Woo, S. O., and Lee, S. J. 2004. Interpolator Data Compression for MPEG-4 Animation, IEEE Transactions on Circuits and Systems for Video Technology, 14, 7, 989--1008.
[2]
Preda, M., and Prêteux, F. 2002. Critic Review on MPEG-4 Face and Body Animation. In Proceedings of International Conference on Image Processing, vol. 3, IEEE 505--508.
[3]
Endo, M., Yasuda, T., and Yokoi, S. 2003. A Distributed Multi-User Virtual Space System. IEEE Computer Graphics and Applications, 23, 1, 50--57.
[4]
Hijiri, T., Nishitani, K., Cornish, T., Naka, T. and Asahara, S. 2000. A Spatial Hierarchical Compression Method for 3D Streaming Animation. In Proceedings of Web3D-VRML Symposium, ACM, 95--101.
[5]
Chattopadhyay, S., Bhandarkar, S. M., and K. Li. 2005. Virtual People & Scalable Worlds: Efficient Compression and Delivery of Stored Motion Data for Virtual Human Animation in Resource Constrained Devices. In Proceedings of VRST (Virtual Reality Software and Technology) Symposium, ACM, 235--243.
[6]
Arikan, O. 2006. Compression of Motion Capture Database. ACM Transactions on Graphics. 890--897.
[7]
Ibarria, L., and Rossignac, J. 2003. Dynapack: Spacetime compression of the 3d animations of triangle meshes with fixed connectivity. In Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer Animation, ACM 126--135.
[8]
Guskov, I., and Khodakovsky, A. 2004. Wavelet compression of parametrically coherent mesh sequences. In Proceedings of the 2004 ACM SIGGRAPH / Eurographics symposium on Computer Animation, ACM, 183--192.
[9]
Sloan, P.-P., Hall, J., Hart, J., and Snyder, J. 2003 Clustered principal components for precomputed radiance transfer. In Proceedings of SIGGRAPH 2003, 22, 3, 382--391.
[10]
Lengyel, J. E. 1999. Compression of time-dependent geometry. In SI3D '99: Proceedings of the 1999 symposium on Interactive 3D graphics, 89--95.
[11]
Gupta, S., Sengupta, K., and Kassim, A. A. 2002. Compression of dynamic 3d geometry data using iterative closest point algorithm. Computer Vision and Image Understanding 87, 1--3, 116--130.
[12]
Sattler, M., Sarlette, R., and Klein, R. 2005. Simple and efficient compression of animation sequences. In Proceedings of the 2005 ACM SIGGRAPH / Eurographics symposium on Computer animation, ACM, 209--217.
[13]
ISO/IEC JTC1/SC29/WG11, a.k.a. MPEG (Moving Picture Experts Group). 1999. Standard 14496--16, a.k.a. "MPEG-4 Part 1: Systems, Published by Iso.
[14]
ISO/IEC JTC1/SC29/WG11. 2004. Standard 14496-16, a.k.a. "MPEG-4 Part 16: Animation Framework eXtension (AFX)", Published by Iso.
[15]
Kim, M., Wood, S., and Cheok, L. T. 2000. Extensible MPEG-4 Textual Format (XMT). Proceedings of the 2000 ACM workshops on Multimedia, 71--74
[16]
Aspert, N., Santa-Cruz, D., and Ebrahimi, T. 2002. Mesh: Measuring errors between surfaces using the hausdorff distance. In Proceedings of the IEEE International Conference in Multimedia and Expo (ICME) 1, 705--708.

Cited By

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  • (2018)Collision‐Aware and Online Compression of Rigid Body Simulations via Integrated Error MinimizationComputer Graphics Forum10.1111/cgf.1350837:8(11-20)Online publication date: 12-Sep-2018
  • (2017)Online MoCap Data Coding With Bit Allocation, Rate Control, and Motion-Adaptive Post-ProcessingIEEE Transactions on Multimedia10.1109/TMM.2017.265542319:6(1127-1141)Online publication date: 1-Jun-2017
  • (2016)Robust transmission of motion capture data using interleaved LDPC and inverse kinematicsProceedings of the 37th Annual Conference of the European Association for Computer Graphics: Short Papers10.5555/3059107.3059109(1-4)Online publication date: 9-May-2016
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    cover image ACM Conferences
    Web3D '07: Proceedings of the twelfth international conference on 3D web technology
    April 2007
    216 pages
    ISBN:9781595936523
    DOI:10.1145/1229390
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 15 April 2007

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    Author Tags

    1. 3D graphics
    2. MPEG-4 3D graphics standard
    3. animation compression
    4. motion capture data

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    Cited By

    View all
    • (2018)Collision‐Aware and Online Compression of Rigid Body Simulations via Integrated Error MinimizationComputer Graphics Forum10.1111/cgf.1350837:8(11-20)Online publication date: 12-Sep-2018
    • (2017)Online MoCap Data Coding With Bit Allocation, Rate Control, and Motion-Adaptive Post-ProcessingIEEE Transactions on Multimedia10.1109/TMM.2017.265542319:6(1127-1141)Online publication date: 1-Jun-2017
    • (2016)Robust transmission of motion capture data using interleaved LDPC and inverse kinematicsProceedings of the 37th Annual Conference of the European Association for Computer Graphics: Short Papers10.5555/3059107.3059109(1-4)Online publication date: 9-May-2016
    • (2015)Human Motion Capture Data Tailored Transform CodingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2015.240332821:7(848-859)Online publication date: 1-Jul-2015
    • (2015)Perceptually motivated LSPIHT for motion capture data compressionComputers and Graphics10.1016/j.cag.2015.05.00251:C(1-7)Online publication date: 1-Oct-2015
    • (2013)MoCap data coding with unrestricted quantization and rate control2013 IEEE International Conference on Acoustics, Speech and Signal Processing10.1109/ICASSP.2013.6638357(3741-3745)Online publication date: May-2013
    • (2013)3D graphics coding in a reconfigurable environmentImage Communication10.1016/j.image.2013.08.01028:10(1239-1254)Online publication date: 1-Nov-2013
    • (2011)Perceptually Guided Fast Compression of 3-D Motion Capture DataIEEE Transactions on Multimedia10.1109/TMM.2011.212949713:4(829-834)Online publication date: 1-Aug-2011
    • (2011)A Fuzzy Clustering Algorithm for Virtual Character Animation RepresentationIEEE Transactions on Multimedia10.1109/TMM.2010.208251213:1(40-49)Online publication date: 1-Feb-2011
    • (2011)Image based approach with k-mean clustering for the compression of human motion sequences2011 IEEE International Symposium of Circuits and Systems (ISCAS)10.1109/ISCAS.2011.5937975(1964-1967)Online publication date: May-2011
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