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The millions of movies produced in the human history are valuable resources for computer vision research.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
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Space-time video montage
H.-W. Kang, Y. Matsushita, X. Tang, and X.-Q. Chen · 2006
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Video abstraction: A systematic review and classification
B. T. Truong and S. Venkatesh · 2007
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S.-B. Park, Y.-W. Kim, M. N. Uddin, and G.-S. Jo · 2009
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Rolenet: Movie analysis from the perspective of social networks
C.-Y. Weng, W.-T. Chu, and J.-L. Wu · 2009
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Movie genre classification via scene categorization
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Temporal video segmentation to scenes using high-level audiovisual features
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
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Face recognition in movie trailers via mean sequence sparse representation-based classification
E. G. Ortiz, A. Wright, and M. Shah · 2013
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Learning latent personas of film characters
D. Bamman, B. O’Connor, and N. A. Smith · 2014
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Category-specific video summarization
D. Potapov, M. Douze, Z. Harchaoui, and C. Schmid · 2014
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Two-stream convolutional networks for action recognition in videos
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Learning spatiotemporal features with 3d convolutional networks
D. Tran, L. D. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2015
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Action recognition with trajectory-pooled deep-convolutional descriptors
L. Wang, Y. Qiao, and X. Tang · 2015
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Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Y. Zhu, R. Kiros, R. Zemel, R. Salakhutdinov, R. Urtasun, A. Torralba, and S. Fidler · 2015
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Semantic video trailers
H. Oosterhuis, S. Ravi, and M. Bendersky · 2016
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Movie genre classification with convolutional neural networks
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Long-term recurrent convolutional networks for visual recognition and description
J. Donahue, L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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G. S. Simões, J. Wehrmann, R. C. Barros, and D. D. Ruiz · 2016
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Movieqa: Understanding stories in movies through question-answering
M. Tapaswi, Y. Zhu, R. Stiefelhagen, A. Torralba, R. Urtasun, and S. Fidler · 2016
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Temporal segment networks: Towards good practices for deep action recognition
L. Wang, Y. Xiong, Z. Wang, Y. Qiao, D. Lin, X. Tang, and L. Van Gool · 2016
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