標題: | Adaptive Motion Data Representation with Repeated Motion Analysis |
作者: | Lin, I-Chen Peng, Jen-Yu Lin, Chao-Chih Tsai, Ming-Han 資訊工程學系 Department of Computer Science |
關鍵字: | Three-dimensional graphics and realism-animation;Compression (coding)-approximate methods |
公開日期: | 1-四月-2011 |
摘要: | In this paper, we present a representation method for motion capture data by exploiting the nearly repeated characteristics and spatiotemporal coherence in human motion. We extract similar motion clips of variable lengths or speeds across the database. Since the coding costs between these matched clips are small, we propose the repeated motion analysis to extract the referred and repeated clip pairs with maximum compression gains. For further utilization of motion coherence, we approximate the subspace-projected clip motions or residuals by interpolated functions with range-aware adaptive quantization. Our experiments demonstrate that the proposed feature-aware method is of high computational efficiency. Furthermore, it also provides substantial compression gains with comparable reconstruction and perceptual errors. |
URI: | http://dx.doi.org/10.1109/TVCG.2010.87 http://hdl.handle.net/11536/9111 |
ISSN: | 1077-2626 |
DOI: | 10.1109/TVCG.2010.87 |
期刊: | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS |
Volume: | 17 |
Issue: | 4 |
起始頁: | 527 |
結束頁: | 538 |
顯示於類別: | 期刊論文 |