Reduction of background computations in adaptive block-matching motion estimation
Vasily G. Moshnyaga, K. Nakasima · 2000
A new architectural enhancement to eliminate redundant operations in computationally adaptive block-matching (BM) motion estimation is proposed. The key step of this work is to use binary-matching to define image regions with the static background content and then exclude these regions from the actual motion estimation. According to experiments, the approach maintains the highest PNR, while making half less computations in comparison to the adaptive BM or 1/8 of the computations required by the full-search BM. An implementation scheme is presented.