DocumentCode
2257502
Title
On-line lossless mocap data compression
Author
Kuo, May-chen ; Chiang, Pei-Ying ; Lee, Jessy ; Kuo, C. C Jay
Author_Institution
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear
2009
fDate
24-27 May 2009
Firstpage
1457
Lastpage
1460
Abstract
We investigate efficient on-line lossless coding of motion capture (mocap) data in this work. The mocap data consist of a set of curves as the temporal trajectory of variables known as the degrees of freedom (dofs). To achieve compression, we sample each dof´s curve temporally, interpolate the curve by a piece-wise Hermite spline as the prediction, and encode residuals with DPCM and Huffman coding. We compare the fixed-interval and the adaptive-interval sampling methods. Both schemes can achieve an averaged bit rate saving of around 80% (or, equivalently, a compression ratio of 20%) with real-time encoding/decoding.
Keywords
Huffman codes; curve fitting; data compression; interpolation; sampling methods; adaptive-interval sampling methods; fixed-interval sampling methods; motion capture data coding; motion capture data compression; online lossless coding; online lossless data compression; piece-wise Hermite spline; Animation; Data compression; Humans; Image coding; Joints; Network synthesis; Principal component analysis; Sampling methods; Skeleton; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location
Taipei
Print_ISBN
978-1-4244-3827-3
Electronic_ISBN
978-1-4244-3828-0
Type
conf
DOI
10.1109/ISCAS.2009.5118041
Filename
5118041
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