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.
Clip-compress: Clip-guided se- mantic compression of video streams
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.