Vector quantization and signal compression
Vector quantization and signal compression
Computers and Electrical Engineering
IEEE Transactions on Multimedia
Efficient two step edge based partial distortion search for fast block motion estimation
IEEE Transactions on Consumer Electronics
New sorting-based partial distortion elimination algorithm for fast optimal motion estimation
IEEE Transactions on Consumer Electronics
A multilevel successive elimination algorithm for block matching motion estimation
IEEE Transactions on Image Processing
Successive elimination algorithm for motion estimation
IEEE Transactions on Image Processing
A novel four-step search algorithm for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
A novel unrestricted center-biased diamond search algorithm for block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Normalized partial distortion search algorithm for block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Hexagon-based search pattern for fast block 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
A new three-step search algorithm for block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
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This work presents an efficient lossy partial distortion search (PDS) algorithm called adaptive mean difference based partial distortion search (AMDNPDS). The proposed AMDNPDS algorithm reduces computations by using a halfway-stop technique in the calculation of the macroblock (MB) distortion measure and applying a diagonal search pattern for stationary or quasi-stationary candidate MBs. For the matching point reduction, a MB is divided into 4x4 sub-MBs with each sub-MB sorted by subtracting the MB mean value. Therefore, the mean difference pixels are retrieved one at time to obtain the accumulated partial SAD used as a constraint for checking the validity of a candidate MB. The proposed scheme can accelerate the convergence speed and efficiently eliminate the impossible candidates earlier, resulting in substantial computation reduction. The experimental results show the proposed algorithm reduces the check pixels by about 11.02 times on average compared with the typical partial distortion search (PDS) when the motion MB size is 16x16 and the search range is +/-15. Compared with other lossy PDS algorithm such as normalized PDS (NPDS), which achieved reductions of 1.82 times on average, reductions in computational complexity were achieved. In addition, the proposed algorithm achieved 59.78% of total motion estimation (ME) time saving compared to the NPDS algorithm and 58% total ME time in comparison to the prediction error prioritizing-based NPDS (PEPNPDS) algorithm when using H.264/AVC JM 18.2 reference software according to different types of sequences, while maintaining a similar bit-rate without losing picture quality.