Learning latent temporal structure for complex event detection


In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a conditional model trained in a max-margin framework that is able to automatically discover discriminative and interesting segments of video, while simultaneously achieving… (More)
DOI: 10.1109/CVPR.2012.6247808

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