Beyond short snippets: Deep networks for video classification

@article{Ng2015BeyondSS,
  title={Beyond short snippets: Deep networks for video classification},
  author={Joe Yue-Hei Ng and Matthew J. Hausknecht and Sudheendra Vijayanarasimhan and Oriol Vinyals and Rajat Monga and George Toderici},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={4694-4702}
}
  • J. Ng, M. Hausknecht, G. Toderici
  • Published 30 March 2015
  • Computer Science
  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Convolutional neural networks (CNNs) have been extensively applied for image recognition problems giving state-of-the-art results on recognition, detection, segmentation and retrieval. In this work we propose and evaluate several deep neural network architectures to combine image information across a video over longer time periods than previously attempted. We propose two methods capable of handling full length videos. The first method explores various convolutional temporal feature pooling… 

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