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Compression of volumetric data sets using motion-compensated temporal filtering

Recently, scalable video codecs based upon motion compensated temporal filtering (MCTF) have received a lot of attention. These video coding schemes perform on par with H.264, the current state-of-the-art video coding standard, while providing quality, resolution and frame-rate scalability. In this paper we aim to evaluate the rate-distortion performance of MCTF-based codecs when applied to volumetric data sets. In our experiments the lossy coding efficiency of an MCTF-based codec is compared to that of the 3D QT-L codec, which represents the state-of-the-art in volumetric coding. The results show that the MCTF-based coder does not provide better PSNR performance than the 3D QT-L codec. However, if the rate spent to code the motion vector information is not taken into account, the performance of the MCTF-based codec at low rates is on par or better than the performance of the 3D QT-L. This leads us to conclude that possible distortion improvements obtained by using MCTF instead of a regular wavelet-transform in the temporal direction do not outweigh the extra rate needed to encode the motion vector information.