Abstract-With the advancements in methods for capturing 3D object motion, motion capture (MoCap) data are starting to be used beyond their traditional realm of animation and gaming in areas such as the arts, rehabilitation, automotive industry, remote interactions, and so on. As the amount of MoCap data increases, compression becomes crucial for further expansion and adoption of these technologies. In this paper, we extend our previous work on low-delay MoCap data compression by introducing two improvements. The first improvement is the bit allocation to long-term and short-term reference MoCap frames, which provides a 10-15% reduction in coded bitrate at the same quality. The second improvement is the post-processing in the form of motion-adaptive temporal low-pass filtering, which is able to provide another 9-13% savings in the bitrate. The experimental results also indicate that the proposed online MoCap codec is competitive with several state-of-the-art offline codecs. Overall, the proposed techniques integrate into a highly effective online MoCap codec that is suitable for low-delay applications, whose implementation is provided alongside this paper to aid further research in the field.
Motion Capture (MoCap) technology is becoming increasingly popular in gaming, entertainment, and multimedia industries. Interactive systems using MoCap technology require low-delay MoCap data compression. In this paper, we extend previous work on low-delay MoCap compression by introducing several useful features, such as unrestricted quantization, more efficient entropy coding, as well as encoder rate control. Experimental results show that the proposed rate control provides better than 99% accuracy in controlling encoder's output bitrate. At the same time, improvements in quantization and entropy coding provide over 20% reduction in bit rate for the same reconstruction quality, compared to the current state of the art.
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