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Motion Estimation Architecture for parallel execution using FPGA based systems. A novel architecture proposed reduces execution time and improves throughput for Motion Estimation. This Architecture is verifed experimentally on a Xilinx based FPGA system. This was a result of ongoing research project at San Francisco State University California and a thesis for my Masters Degree in Elecrical Engineering.