Robust Transmission of Motion Capture Data using Interleaved LDPC and Inverse Kinematics
Abstract
Recent advances in smart-sensor technology have improved precision in Motion Capture (MoCap) data for realistic animation.
However, precision also imposes challenges on bandwidth. While research efforts have focussed on MoCap compression in
recent years, little attention has been given to lossy transmission taking advantage of the human perceptual threshold, which
allows many online applications, e.g., interactive games, on-demand broadcast, movies and tutoring using dynamic motion
sequences. Given the growing applications on mobile devices and wireless networks, associated with insufficient bandwidth,
unreliable connection and potential interference or shadowing, data loss is inevitable. We introduce a new Representation
for MoCap data, integrating Interleaved Low-Density Parity-Check (I-LDPC), with Keyframe-based Interpolation and Inverse
Kinematics, to better address the problem of MoCap data loss during transmission. We believe this is the first study to address
robust transmission of MoCap data considering loss. Experimental results assessed using mean opinion scores demonstrate
that our approach achieves substantial improvement over alternative transmission methods.