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Video classification has advanced tremendously over the recent years.
Learning long-term dependencies with gradient descent is difficult
Y. Bengio, P. Simard, and P. Frasconi · 1994
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Hierarchical mixtures of experts and the em algorithm
M. I. Jordan · 1994
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Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
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A weighted combination of classifiers employing shared and distinct representations
J. Kittler and A. Hojjatoleslami · 1998
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Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
J. C. Platt · 1999
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Classifier fusion for multisensor image recognition
F. Roli, G. Giacinto, and S. Serpico · 2001
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A study on bayes feature fusion for image classification
X. Shi and R. Manduchi · 2003
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Hierarchical probabilistic neural network language model
F. Morin and Y. Bengio · 2005
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k-means++: The advantages of careful seeding
D. Arthur and S. Vassilvitskii · 2007
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Object category recognition using probabilistic fusion of speech and image classifiers
K. Saenko and T. Darrell · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor · 2008
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Video2text: Learning to annotate video content
H. Aradhye, G. Toderici, and J. Yagnik · 2009
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Object bank: A high-level image representation for scene classification & semantic feature sparsification
L.-J. Li, H. Su, L. Fei-Fei, and E. P. Xing · 2010
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Finding meaning on youtube: Tag recommendation and category discovery
G. Toderici, H. Aradhye, M. Pasca, L. Sbaiz, and J. Yagnik · 2010
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Sequential Deep Learning for Human Action Recognition
M. Baccouche, F. Mamalet, C. Wolf, C. Garcia, and A. Baskurt · 2011
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Adaptive subgradient methods for online learning and stochastic optimization
J. Duchi, E. Hazan, and Y. Singer · 2011
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Action recognition by dense trajectories
H. Wang, A. Klaser, C. Schmid, and C.-L. Liu · 2011
3D convolutional neural networks for human action recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2013
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Classifying YouTube channels: a practical system
V. Simonet · 2013
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Large-scale video classification with convolutional neural networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
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Beyond gaussian pyramid: Multi-skip feature stacking for action recognition
Z. Lan, M. Lin, X. Li, A. G. Hauptmann, and B. Raj · 2014
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Two-stream convolutional networks for action recognition in videos
K. Simonyan and A. Zisserman · 2014
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Discriminative tag learning on youtube videos with latent sub-tags
W. Yang and G. Toderici · 2011
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Large scale distributed deep networks
J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, M. Mao, A. Senior, P. Tucker, K. Yang, Q. V. Le, et al · 2012
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Large scale distributed deep networks
J. Dean, G. S. Corrado, R. Monga, K. Chen, M. Devin, Q. V. Le, M. Z. Mao, A. Senior, P. Tucker, K. Yang, and A. Y. Ng · 2012
Cited alongside, same era.
ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Speech recognition with deep recurrent neural networks
A. Graves, A.-R. Mohamed, and G. Hinton · 2013
Cited alongside, same era.
Ceres solver
S. Agarwal, K. Mierle, and Others
Cited in the paper.
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2014
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C3D: generic features for video analysis
D. Tran, L. D. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2014
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https://developers.google.com/youtube/v3/guides/searching_by_topic , 2015
YouTube Data API - Searching with Freebase Topics · 2015
Closest in time.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Beyond short snippets: Deep networks for video classification
J. Y.-H. Ng, M. Hausknecht, S. Vijayanarasimhan, O. Vinyals, R. Monga, and G. Toderici · 2015
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