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-Apr-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
Appears in Collections:Articles


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