for similar movements across millions of hours of footage. Predict the next likely movement in a sequence.
Deep networks (like Temporal Segment Networks) extract "snippets" of data from each segment. b41127.mp4
These snippets process both (visuals) and Optical Flow (motion). Stage 2: Global Aggregation Local features are pooled to create a "Global Feature". for similar movements across millions of hours of footage
Accelerates learning by removing redundant data. b41127.mp4
Not every frame in a video like is valuable. Modern AI relies on Coreset Selection to identify the most "informative" samples.