An architectural enhancement for reducing background computation in adaptive motion estimation

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 actu...

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Bibliographic Details
Main Authors: Moshnyaga, V.G., Nakasima, K.
Format: Conference Proceeding
Language:English
Subjects:
Background noise
Image sequences
Motion estimation
Noise figure
Optical computing
PSNR
Tires
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Summary: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 PSNR, while making as half as 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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2000.860124