MultiOrderResidual (MOR) Video Coding: Framework, Analysis and Performance A novel multiorderresidual (MOR) coding approach is proposed for highbitrate video compression in this work. We show that a significant amount of short and mediumrange correlations due to the use of a fine quantization parameter cannot be easily removed by the well known motion compensated prediction process in the highbitrate coding scenario. Consequently, the video coding performance degrades rapidly as quality increases. To address this issue, we propose a MultiOrderResidual (MOR) coding scheme that encodes prediction residuals in multiple stages according to their correlation characteristics. Then, we adopt different compensation and coding schemes in different stages. Experimental results are given to show the proposed MOR scheme outperforms H.264AVC by a significant margin.

Embedded to lossless coding of motion compensated prediction residuals in lossless video coding Lossless video coding is useful in applications where no loss of information or visual quality is tolerable. In embedded to lossless coding an encoded video stream can be decoded into any bit rate up to the lossless bit rate, which is quite useful in numerous applications. In this paper, the research we present is based on lossless video coding, which uses motion compensated prediction to eliminate temporal redundancy. We specifically address the problem of embedded to lossless coding of the motion compensated prediction residuals. Since the statistical properties of the residuals are different from still images, the best wavelet bases for still images do not perform well for residuals. Since residuals contain a higher portion of high frequency information in high motion regions, a fixed transform for the entire frame is not very efficient. We introduce a spatially adaptive wavelet transform method, which takes the local frame statistics into account before choosing the wavelet base. This transform technique provided the best performance for most of the test frames.