This paper presents a simple yet effective algorithm for compressing human motion capture (mocap) data. With a reordering-based discrete wavelet transform and the standard discrete cosine transform, our method can effectively reduce the spatial and temporal correlation in mocap data. Our method is conceptually simple and easy to implement. Experimental results show that our method can achieve better compression performance with lower latency, compared to the state-of-the-art methods.
|Title of host publication
|2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 27 Jul 2015
|IEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: 24 May 2015 → 27 May 2015
|Proceedings - IEEE International Symposium on Circuits and Systems
|IEEE International Symposium on Circuits and Systems, ISCAS 2015
|24/05/15 → 27/05/15
ASJC Scopus subject areas
- Electrical and Electronic Engineering