Journal
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
Volume 25, Issue 1, Pages 51-62Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSVT.2014.2329376
Keywords
3-D motion data; geometry video (GV); keyframe; rate distortion analysis
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Funding
- Singapore National Research Foundation
- International Research Centre, Singapore Funding Initiative
- Interactive Digital Media Programme Office
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This paper presents keyframe-based geometry video (KGV), a novel framework for compressing 3-D human motion data by using geometry videos. Given a motion data encoded in a geometry video (GV) format, our method extracts the keyframes and produces a reconstruction matrix. Then it applies the video compression technique (e.g., H.264/Advanced Video Coding) to the reordered keyframes, which can significantly reduce the spatial and temporal redundancy in the KGV. We develop a rate distortion-based optimization algorithm to determine the parameters (i.e., the number of keyframes and quantization parameter) leading to optimal performance. Experimental results show that the proposed KGV framework significantly outperforms the existing GV techniques in terms of both the rate distortion performance and visual quality. Besides, the computational cost of the KGV is rather low at the decoder, making it highly desirable for power-constrained devices. Last but not least, our method can be easily extended to progressive compression with heterogeneous communication network.
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