Transforms for the Motion Compensation Residual
Author(s)Kamisli, Fatih; Lim, Jae S.
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The Discrete-Cosine-Transform (DCT) is the most widely used transform in image and video compression. Its use in image compression is often justified by the notion that it is the statistically optimal transform for first-order Markov signals, which have been used to model images. In standard video codecs, the motion-compensation residual (MC-residual) is also compressed with the DCT. The MC-residual may, however, possess different characteristics from an image. Hence, the question that arises is if other transforms can be developed that can perform better on the MC-residual than the DCT. Inspired by recent research on direction-adaptive image transforms, we provide an adaptive auto-covariance characterization for the MC-residual that shows some statistical differences between the MC-residual and the image. Based on this characterization, we propose a set of block transforms. Experimental results indicate that these transforms can improve the compression efficiency of the MC-residual.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Institute of Electrical and Electronics Engineers
Kamisli, F., and J.S. Lim. “Transforms for the motion compensation residual.” Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. 2009. 789-792. © 2009 IEEE
Final published version
INSPEC Accession Number: 10700890
Discrete cosine transforms, Motion compensation, Video coding