Coding of Motion Capture Data via Temporal-Domain Sampling and Spatial-domain Vector Quantization Techniques

• Published in: Advances in Multimedia Information Processing - PCM 2010 pp. 84 - 99
• Main Authors: Kuo, May-chen, Chiang, Pei-Ying, Kuo, C. -C. Jay
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2010
• Series: Lecture Notes in Computer Science
• Subjects: Adaptive Sampling; Compression Ratio; High Compression Ratio; Motion Capture; Vector Quantization
• ISBN: 9783642156953; 3642156959
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-642-15696-0_9

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.