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Adaptive HAAR-Like MCTF Based Wavelet Video Coding Scheme

In conventional motion compensated temporal filtering based wavelet coding scheme, where the group of picture size and low-pass frames position are fixed, motion activities in video sequences are not considered. In this paper, we propose a Haar-like motion compensated temporal filtering (MCTF) based wavelet video coding scheme, which can adoptively select the group of picture size and low-pass frames based on mutual information of the video sequences and the types of motion activities. We compare the PSNR performance of proposed method with the conventional motion compensated temporal filtering encoding scheme by carrying out a large amount of experimental work. When the video sequence has high motion activity, the proposed low-pass frame selection has a better performance than that of the conventional scheme, and can improve the compression quality by about 0.3-0.5 db. The proposed adaptive approach for selecting the group of picture size is more suitable for situations with un-even variation of motion activities, e.g. with frequent shot cuts, and when the decoder only decodes frames at the low temporal level.