Rank Pooling for Action Recognition

6 Dec 2015Basura FernandoEfstratios GavvesJose OramasAmir GhodratiTinne Tuytelaars

We propose a function-based temporal pooling method that captures the latent structure of the video sequence data - e.g. how frame-level features evolve over time in a video. We show how the parameters of a function that has been fit to the video data can serve as a robust new video representation... (read more)

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