Compression of Human Motion Capture Data Using Motion Pattern Indexing

In this work, a novel scheme is proposed to compress human motion capture data based on hierarchical structure construction and motion pattern indexing. For a given sequence of 3D motion capture data of human body, the 3D markers are first organized into a hierarchy where each node corresponds to a...

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Vydané v:	Computer graphics forum Ročník 28; číslo 1; s. 1 - 12
Hlavní autori:	Gu, Qin, Peng, Jingliang, Deng, Zhigang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford, UK Blackwell Publishing Ltd 01.03.2009
Predmet:	Computer graphics Data compression distortion control E.4 [Coding and Information Theory]: Data Compaction and Compression Hierarchies Human body I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism Motion capture motion compression motion pattern Studies Three dimensional imaging Time & motion studies United States > US
ISSN:	0167-7055, 1467-8659
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Abstract	In this work, a novel scheme is proposed to compress human motion capture data based on hierarchical structure construction and motion pattern indexing. For a given sequence of 3D motion capture data of human body, the 3D markers are first organized into a hierarchy where each node corresponds to a meaningful part of the human body. Then, the motion sequence corresponding to each body part is coded separately. Based on the observation that there is a high degree of spatial and temporal correlation among the 3D marker positions, we strive to identify motion patterns that form a database for each meaningful body part. Thereafter, a sequence of motion capture data can be efficiently represented as a series of motion pattern indices. As a result, higher compression ratio has been achieved when compared with the prior art, especially for long sequences of motion capture data with repetitive motion styles. Another distinction of this work is that it provides means for flexible and intuitive global and local distortion controls.
AbstractList	In this work, a novel scheme is proposed to compress human motion capture data based on hierarchical structure construction and motion pattern indexing. For a given sequence of 3D motion capture data of human body, the 3D markers are first organized into a hierarchy where each node corresponds to a meaningful part of the human body. Then, the motion sequence corresponding to each body part is coded separately. Based on the observation that there is a high degree of spatial and temporal correlation among the 3D marker positions, we strive to identify motion patterns that form a database for each meaningful body part. Thereafter, a sequence of motion capture data can be efficiently represented as a series of motion pattern indices. As a result, higher compression ratio has been achieved when compared with the prior art, especially for long sequences of motion capture data with repetitive motion styles. Another distinction of this work is that it provides means for flexible and intuitive global and local distortion controls. In this work, a novel scheme is proposed to compress human motion capture data based on hierarchical structure construction and motion pattern indexing. For a given sequence of 3D motion capture data of human body, the 3D markers are first organized into a hierarchy where each node corresponds to a meaningful part of the human body. Then, the motion sequence corresponding to each body part is coded separately. Based on the observation that there is a high degree of spatial and temporal correlation among the 3D marker positions, we strive to identify motion patterns that form a database for each meaningful body part. Thereafter, a sequence of motion capture data can be efficiently represented as a series of motion pattern indices. As a result, higher compression ratio has been achieved when compared with the prior art, especially for long sequences of motion capture data with repetitive motion styles. Another distinction of this work is that it provides means for flexible and intuitive global and local distortion controls. Submitted December 2007Revised April 2008Accepted April 2008. In this work, a novel scheme is proposed to compress human motion capture data based on hierarchical structure construction and motion pattern indexing. For a given sequence of 3D motion capture data of human body, the 3D markers are first organized into a hierarchy where each node corresponds to a meaningful part of the human body. Then, the motion sequence corresponding to each body part is coded separately. Based on the observation that there is a high degree of spatial and temporal correlation among the 3D marker positions, we strive to identify motion patterns that form a database for each meaningful body part. Thereafter, a sequence of motion capture data can be efficiently represented as a series of motion pattern indices. As a result, higher compression ratio has been achieved when compared with the prior art, especially for long sequences of motion capture data with repetitive motion styles. Another distinction of this work is that it provides means for flexible and intuitive global and local distortion controls. [PUBLICATION ABSTRACT]
Author	Gu, Qin Deng, Zhigang Peng, Jingliang
Author_xml	– sequence: 1 givenname: Qin surname: Gu fullname: Gu, Qin organization: Computer Graphics and Interactive Media Lab, Department of Computer Science University of Houston, Houston, TX, USA ericgu@cs.uh.edu; zdeng@cs.uh.edu – sequence: 2 givenname: Jingliang surname: Peng fullname: Peng, Jingliang organization: Qualcomm, Inc., San Diego, CA, USA jingliap@gmail.com – sequence: 3 givenname: Zhigang surname: Deng fullname: Deng, Zhigang organization: Computer Graphics and Interactive Media Lab, Department of Computer Science University of Houston, Houston, TX, USA ericgu@cs.uh.edu; zdeng@cs.uh.edu
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Cites_doi	10.1016/j.jvcir.2005.03.001 10.1016/j.jvcir.2004.04.004 10.1145/1073368.1073377 10.1145/1268517.1268568 10.1145/1186822.1073237 10.1109/TIP.2006.877413 10.1109/ICIP.2004.1421468 10.1111/1467-8659.00433 10.1145/1061347.1061356 10.1109/TCSVT.2002.806814 10.1145/344779.344922 10.1145/1073368.1073398 10.1145/218380.218421 10.1109/PBG.2005.194070 10.1145/944020.944022 10.1145/1028523.1028547 10.1007/978-0-387-21606-5 10.1109/ITCC.2005.167 10.1145/300523.300533 10.1016/j.cag.2003.10.002 10.1145/1141911.1141971
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References	Karni Z., Gotsman C.: Compression of soft-body animation sequences. Computer & Graphics, Special Issue on Compression, 28, 1 (2004), 25-34. Alexa M., Müller W.: Representing animations by principal components. Computer Graphics Forum, 19, 3 (2000), 411-418. Arikan O.: Compression of motion capture databases. ACM Transactions on Graphics, 25, 3 (2006), 890-897. Yang J.-H., Kim C.-S., Lee S.-U.: Compression of 3D triangle mesh sequences based on vertex-wise motion vector prediction. IEEE Transactions Circuits and Systems for Video Technology, 12, 12 (2002),1178-1184. Yang J.-H., Kim C.-S., Lee S.-U.: Semi-regular representation and progressive compression of 3D dynamic mesh sequences. IEEE Transactions on Image Processing, 15, 9 (2006), 2531-2544. Peng J., Kim C.-S., Kuo C.-C. J.: Technologies for 3D mesh compression: A survey. Journal of Visual Communication and Image Representation, 16, 6 (2005), 688-733. Hastie T., Ribshirani R., Friedman J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag, New York , NY , 2001. Attene M., Falcidieno B., Spagnuolo M., Rossignac J.: Swingwrapper: Retiling triangle meshes for better edgebreaker compression. ACM Transactions on Graphics, 22, 4 (2003), 982-996. Kalaiah A., Varshney A.: Statistical geometry representation for efficient transmission and rendering. ACM Transactions on Graphics, 24, 2 (2005), 348-373. Chiu C. Y., Chao S. P., Wu M. Y., Yang S. N., Lin H. C.: Content-based retrieval for human motion data. Journal of Visual Communication and Image Representation, 15, 3 (2004), 446-466. MacKay D. J.: Information Theory, Inference, and Learning Algorithms. Cambridge University Press, UK (2002). 2000; 19 May 2007; 2007 2001 2000 Oct. 2004 May 2007 2004; 28 2002; 12 2004; 15 2006; 25 2006; 15 2007 1995 2006 2005 2004 2003 2002 2005; 16 2007; 13 2003; 22 2005; 24 1999 e_1_2_9_30_2 Peng J. (e_1_2_9_31_2) 2005 e_1_2_9_10_2 e_1_2_9_33_2 e_1_2_9_34_2 e_1_2_9_11_2 e_1_2_9_32_2 Chattopadhyay S. (e_1_2_9_12_2) 2007 e_1_2_9_14_2 e_1_2_9_37_2 e_1_2_9_13_2 e_1_2_9_38_2 e_1_2_9_35_2 e_1_2_9_15_2 e_1_2_9_36_2 e_1_2_9_18_2 Fod A. (e_1_2_9_16_2) 2002 e_1_2_9_39_2 e_1_2_9_19_2 e_1_2_9_21_2 e_1_2_9_20_2 e_1_2_9_23_2 e_1_2_9_7_2 e_1_2_9_6_2 e_1_2_9_5_2 e_1_2_9_4_2 e_1_2_9_3_2 e_1_2_9_9_2 e_1_2_9_8_2 e_1_2_9_25_2 Alliez P. (e_1_2_9_2_2) 2001 e_1_2_9_24_2 MacKay D. J. (e_1_2_9_29_2) 2002 e_1_2_9_27_2 e_1_2_9_26_2 e_1_2_9_28_2 Gu X. (e_1_2_9_17_2) 2002 Khodakovsky A. (e_1_2_9_22_2) 2002
References_xml	– reference: MacKay D. J.: Information Theory, Inference, and Learning Algorithms. Cambridge University Press, UK (2002). – reference: Hastie T., Ribshirani R., Friedman J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag, New York , NY , 2001. – reference: Peng J., Kim C.-S., Kuo C.-C. J.: Technologies for 3D mesh compression: A survey. Journal of Visual Communication and Image Representation, 16, 6 (2005), 688-733. – reference: Alexa M., Müller W.: Representing animations by principal components. Computer Graphics Forum, 19, 3 (2000), 411-418. – reference: Yang J.-H., Kim C.-S., Lee S.-U.: Compression of 3D triangle mesh sequences based on vertex-wise motion vector prediction. IEEE Transactions Circuits and Systems for Video Technology, 12, 12 (2002),1178-1184. – reference: Attene M., Falcidieno B., Spagnuolo M., Rossignac J.: Swingwrapper: Retiling triangle meshes for better edgebreaker compression. ACM Transactions on Graphics, 22, 4 (2003), 982-996. – reference: Arikan O.: Compression of motion capture databases. ACM Transactions on Graphics, 25, 3 (2006), 890-897. – reference: Karni Z., Gotsman C.: Compression of soft-body animation sequences. Computer & Graphics, Special Issue on Compression, 28, 1 (2004), 25-34. – reference: Kalaiah A., Varshney A.: Statistical geometry representation for efficient transmission and rendering. ACM Transactions on Graphics, 24, 2 (2005), 348-373. – reference: Yang J.-H., Kim C.-S., Lee S.-U.: Semi-regular representation and progressive compression of 3D dynamic mesh sequences. IEEE Transactions on Image Processing, 15, 9 (2006), 2531-2544. – reference: Chiu C. Y., Chao S. P., Wu M. Y., Yang S. N., Lin H. C.: Content-based retrieval for human motion data. Journal of Visual Communication and Image Representation, 15, 3 (2004), 446-466. – start-page: 97 year: 1995 end-page: 104 – start-page: 209 year: 2005 end-page: 217 – start-page: 508 year: 2004 end-page: 517 – volume: 22 start-page: 982 issue: 4 year: 2003 end-page: 996 article-title: Swingwrapper: Retiling triangle meshes for better edgebreaker compression publication-title: ACM Transactions on Graphics – start-page: 127 year: 2006 end-page: 135 – start-page: 1975 year: Oct. 2004 end-page: 1978 – year: 2007 – year: 2001 – start-page: 189 year: 2002 end-page: 205 – start-page: 103 year: 2006 end-page: 110 – start-page: 183 year: 2004 end-page: 192 – volume: 15 start-page: 446 issue: 3 year: 2004 end-page: 466 article-title: Content‐based retrieval for human motion data publication-title: Journal of Visual Communication and Image Representation – start-page: 111 year: 2006 end-page: 120 – volume: 24 start-page: 348 issue: 2 year: 2005 end-page: 373 article-title: Statistical geometry representation for efficient transmission and rendering publication-title: ACM Transactions on Graphics – volume: 19 start-page: 411 issue: 3 year: 2000 end-page: 418 article-title: Representing animations by principal components publication-title: Computer Graphics Forum – start-page: 271 year: 2000 end-page: 278 – start-page: 609 year: 2005 end-page: 616 – volume: 13 start-page: 5 issue: 1 year: 2007 end-page: 14 – volume: 28 start-page: 25 issue: 1 year: 2004 end-page: 34 article-title: Compression of soft‐body animation sequences publication-title: Computer & Graphics, Special Issue on Compression – volume: 25 start-page: 890 issue: 3 year: 2006 end-page: 897 article-title: Compression of motion capture databases publication-title: ACM Transactions on Graphics – start-page: 185 year: 2004 end-page: 194 – start-page: 68 year: 2005 end-page: 73 – start-page: 99 year: 2005 end-page: 107 – start-page: 136 year: 2003 end-page: 146 – year: 2002 – start-page: 137 year: 2006 end-page: 146 – volume: 12 start-page: 39 issue: 1 year: 2002 end-page: 54 – start-page: 355 year: 2002 end-page: 361 – volume: 16 start-page: 688 issue: 6 year: 2005 end-page: 733 article-title: Technologies for 3D mesh compression: A survey publication-title: Journal of Visual Communication and Image Representation – start-page: 1296 year: May 2007 – start-page: 198 year: 2001 end-page: 205 – volume: 2007 start-page: 313 year: May 2007 end-page: 318 – volume: 12 start-page: 1178 issue: 12 year: 2002 end-page: 1184 article-title: Compression of 3D triangle mesh sequences based on vertex‐wise motion vector prediction publication-title: IEEE Transactions Circuits and Systems for Video Technology – volume: 15 start-page: 2531 issue: 9 year: 2006 end-page: 2544 article-title: Semi‐regular representation and progressive compression of 3D dynamic mesh sequences publication-title: IEEE Transactions on Image Processing – start-page: 67 year: 2005 end-page: 76 – start-page: 126 year: 2003 end-page: 135 – start-page: 89 year: 1999 end-page: 95 – start-page: 39 volume-title: Auton. Robots year: 2002 ident: e_1_2_9_16_2 – ident: e_1_2_9_21_2 – ident: e_1_2_9_32_2 doi: 10.1016/j.jvcir.2005.03.001 – ident: e_1_2_9_38_2 – start-page: 189 volume-title: Geometric Modeling for Scientific Visualization year: 2002 ident: e_1_2_9_22_2 – ident: e_1_2_9_10_2 – ident: e_1_2_9_13_2 doi: 10.1016/j.jvcir.2004.04.004 – ident: e_1_2_9_15_2 doi: 10.1145/1073368.1073377 – ident: e_1_2_9_7_2 doi: 10.1145/1268517.1268568 – start-page: 609 volume-title: ACM SIGGRAPH year: 2005 ident: e_1_2_9_31_2 doi: 10.1145/1186822.1073237 – ident: e_1_2_9_37_2 doi: 10.1109/TIP.2006.877413 – start-page: 198 volume-title: ACM SIGGRAPH year: 2001 ident: e_1_2_9_2_2 – ident: e_1_2_9_8_2 – ident: e_1_2_9_30_2 – ident: e_1_2_9_36_2 doi: 10.1109/ICIP.2004.1421468 – ident: e_1_2_9_4_2 doi: 10.1111/1467-8659.00433 – volume-title: Information Theory, Inference, and Learning Algorithms year: 2002 ident: e_1_2_9_29_2 – ident: e_1_2_9_26_2 doi: 10.1145/1061347.1061356 – ident: e_1_2_9_35_2 doi: 10.1109/TCSVT.2002.806814 – ident: e_1_2_9_24_2 doi: 10.1145/344779.344922 – ident: e_1_2_9_34_2 doi: 10.1145/1073368.1073398 – ident: e_1_2_9_11_2 doi: 10.1145/218380.218421 – ident: e_1_2_9_9_2 – ident: e_1_2_9_14_2 – ident: e_1_2_9_6_2 – ident: e_1_2_9_25_2 doi: 10.1109/PBG.2005.194070 – ident: e_1_2_9_3_2 doi: 10.1145/944020.944022 – ident: e_1_2_9_18_2 doi: 10.1145/1028523.1028547 – start-page: 5 volume-title: IEEE Transaction on Visualization and Computer Graphics year: 2007 ident: e_1_2_9_12_2 – ident: e_1_2_9_28_2 – start-page: 355 volume-title: ACM SIGGRAPH year: 2002 ident: e_1_2_9_17_2 – ident: e_1_2_9_33_2 – ident: e_1_2_9_19_2 – ident: e_1_2_9_20_2 doi: 10.1007/978-0-387-21606-5 – ident: e_1_2_9_39_2 doi: 10.1109/ITCC.2005.167 – ident: e_1_2_9_27_2 doi: 10.1145/300523.300533 – ident: e_1_2_9_23_2 doi: 10.1016/j.cag.2003.10.002 – ident: e_1_2_9_5_2 doi: 10.1145/1141911.1141971
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SubjectTerms	Computer graphics Data compression distortion control E.4 [Coding and Information Theory]: Data Compaction and Compression Hierarchies Human body I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism Motion capture motion compression motion pattern Studies Three dimensional imaging Time & motion studies
Title	Compression of Human Motion Capture Data Using Motion Pattern Indexing
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