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This study introduces a spatio-temporal lifting based algorithm to be used in compression of video signals. The temporal correlation of consecutive frames causes temporal redundancies, which are subject to lifting-like motion predictive compression. Similarly, neighbouring pixels are correlated within each frame. A method that uses both correlations might be 3D lifting-based decomposition. In this...
Video data compression uses interframe coding to remove temporal redundancy and motion compensation plays a vital role in it. Generally, the block matching techniques are used for motion compensation and the matching criterions used are mean absolute difference (MAD) and mean square error (MSE). MSE has more computation than MAD and therefore, MAD is the most preferred block matching criterion for...
In video compression, motion compensation techniques are used for removal of temporal redundancy and it is the block based matching concept which is most popular among them. In such matching techniques, Mean Absolute Difference (MAD) is widely accepted as the matching criterion because of its simplicity and low computation. Since MAD considers only average error value in a block for matching purposes...
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