Digital video processing
Fast full search motion estimation algorithm using early detection of impossible candidate vectors
IEEE Transactions on Signal Processing
An efficient three-step search algorithm for block motion estimation
IEEE Transactions on Multimedia
A multilevel successive elimination algorithm for block matching motion estimation
IEEE Transactions on Image Processing
A thresholding multiresolution block matching algorithm
IEEE Transactions on Circuits and Systems for Video Technology
Fast motion vector estimation using multiresolution-spatio-temporal correlations
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
New techniques for multi-resolution motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
A novel cross-diamond search algorithm for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Enhanced hexagonal search for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Block selective motion estimation for low-complexity video coding
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
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We propose a new and fast multi-resolution motion estimation (MRME) algorithm using optimal matching units and scans for video coding, to significantly reduce the amount of computation in motion estimation. Our proposed algorithm has no any degradation of prediction quality compared to the original MRME algorithm. The computational reduction of our algorithm comes from fast elimination of unlikely candidate vectors. We fast eliminate inappropriate motion vectors using gradient magnitude in image data. The experimental results show that our algorithm reduces the computational amount of just 98~95% compared to full search algorithm and 55~80% compared to the original MRME algorithm. Our algorithm will be useful to real-time video coding applications such as MPEG-2 and MPEG-4 AVC.