A hybrid motion estimation framework combines optimal stopping theory with foundation model semantic scores to reduce computation while maintaining accuracy and semantic coverage in video analysis.
Block matching algorithms for motion estimation,
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FAST-ME: Foundation-aware Adaptive Stopping for Motion Estimation for Efficient IoT Video Analysis
A hybrid motion estimation framework combines optimal stopping theory with foundation model semantic scores to reduce computation while maintaining accuracy and semantic coverage in video analysis.