Abstract
The motion capture (mocap) data has been widely used in motion synthesis applications. In this research, we explore the characteristics of mocap data to develop a new generic and fully-automated compression framework that allows a flexible rate-quality trade-off. The coding framework consists of three modules: 1) temporal sampling, 2) vector quantization in selected I-frames and 3) interpolation and residual coding. The proposed framework gives a higher compression ratio at lower complexity than the state-of-the-art mocap data coding algorithm. It is shown by experimental results that the proposed scheme can achieve 20:1 compression ratio while providing good quality motion.
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Kuo, Mc., Chiang, PY., Kuo, C.C.J. (2010). Coding of Motion Capture Data via Temporal-Domain Sampling and Spatial-domain Vector Quantization Techniques. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15696-0_9
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DOI: https://doi.org/10.1007/978-3-642-15696-0_9
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