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What is Video Classification with Image-trained CNNs about?

This document discusses exploiting image-trained convolutional neural networks (CNNs) for unconstrained video classification. The authors explore different strategies for spatial and temporal pooling of CNN features extracted from frames, as well as feature normalization and choice of CNN layers and classifiers. Their approach achieves state-of-the-art performance on challenging video datasets, outperforming models using hand-crafted features. A late fusion of CNN features and motion-based features further

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EN