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Most existing video summarisation methods are based on either supervised or unsupervised learning.
Reinforcement learning for robots using neural networks
Long-Ji Lin · 1993
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Double q-learning
Hado V Hasselt · 2010
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See all by looking at a few: Sparse modeling for finding representative objects
Ehsan Elhamifar, Guillermo Sapiro, and Rene Vidal · 2012
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Large-scale video summarization using web-image priors
Aditya Khosla, Raffay Hamid, Chih-Jen Lin, and Neel Sundaresan · 2013
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Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
Earlier work this paper cites.
On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio · 2013
Earlier work this paper cites.
Video synopsis by heterogeneous multi-source correlation
Xiatian Zhu, Chen Change Loy, and Shaogang Gong · 2013
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
Earlier work this paper cites.
Diverse sequential subset selection for supervised video summarization
Boqing Gong, Wei-Lun Chao, Kristen Grauman, and Fei Sha · 2014
Earlier work this paper cites.
Creating summaries from user videos
Michael Gygli, Helmut Grabner, Hayko Riemenschneider, and Luc Van Gool · 2014
Earlier work this paper cites.
Joint summarization of large-scale collections of web images and videos for storyline reconstruction
Gunhee Kim, Leonid Sigal, and Eric P Xing · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Category-specific video summarization
Danila Potapov, Matthijs Douze, Zaid Harchaoui, and Cordelia Schmid · 2014
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Quasi real-time summarization for consumer videos
Bin Zhao and Eric P Xing · 2014
Earlier work this paper cites.
Video co-summarization: Video summarization by visual co-occurrence
Wen-Sheng Chu, Yale Song, and Alejandro Jaimes · 2015
Earlier work this paper cites.
Video summarization by learning submodular mixtures of objectives
Michael Gygli, Helmut Grabner, and Luc Van Gool · 2015
Cited alongside, same era.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Cited alongside, same era.
Tvsum: Summarizing web videos using titles
Yale Song, Jordi Vallmitjana, Amanda Stent, and Alejandro Jaimes · 2015
Cited alongside, same era.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Cited alongside, same era.
Gaze-enabled egocentric video summarization via constrained submodular maximization
Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M Rehg, and Vikas Singh · 2015
Cited alongside, same era.
Unsupervised extraction of video highlights via robust recurrent auto-encoders
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
Later among the works it cites.
Curiosity-driven exploration by self-supervised prediction
Deepak Pathak, Pulkit Agrawal, Alexei A Efros, and Trevor Darrell · 2017
Later among the works it cites.
Deep reinforcement learning-based image captioning with embedding reward
Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, and Li-Jia Li · 2017
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Tracking as online decision-making: Learning a policy from streaming videos with reinforcement learning
James Supancic III and Deva Ramanan · 2017
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Discovering visual concept structure with sparse and incomplete tags
Jingya Wang, Xiatian Zhu, and Shaogang Gong · 2017
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Action-decision networks for visual tracking with deep reinforcement learning
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Huan Yang, Baoyuan Wang, Stephen Lin, David Wipf, Minyi Guo, and Baining Guo · 2015
Cited alongside, same era.
Video summarization using deep semantic features
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, and Naokazu Yokoya · 2016
Cited alongside, same era.
Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
Cited alongside, same era.
Deep reinforcement learning with double q-learning
Hado Van Hasselt, Arthur Guez, and David Silver · 2016
Cited alongside, same era.
Video summarization with long short-term memory
Ke Zhang, Wei-Lun Chao, Fei Sha, and Kristen Grauman · 2016
Cited alongside, same era.
Learning from multiple sources for video summarisation
Xiatian Zhu, Chen Change Loy, and Shaogang Gong · 2016
Cited alongside, same era.
Learning policies for adaptive tracking with deep feature cascades
Chen Huang, Simon Lucey, and Deva Ramanan · 2017
Cited alongside, same era.
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, and Jin Young Choi · 2017
Later among the works it cites.
Actor-critic sequence training for image captioning
Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, and Timothy M Hospedales · 2017
Later among the works it cites.
Ffnet: Video fast-forwarding via reinforcement learning
Shuyue Lan, Rameswar Panda, Qi Zhu, and Amit K. Roy-Chowdhury · 2018
Closest in time.
Learning deep sketch abstraction
Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, and Timothy M Hospedales · 2018
Closest in time.
Learning video summarization using unpaired data
Mrigank Rochan and Yang Wang · 2018
Closest in time.
Video captioning via hierarchical reinforcement learning
Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, and William Yang Wang · 2018
Closest in time.
Video summarization via semantic attended networks
Huawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, and Yang Xiaokang · 2018
Closest in time.
Dtr-gan: Dilated temporal relational adversarial network for video summarization
Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, and Eric P Xing · 2018
Closest in time.
Hsa-rnn: Hierarchical structure-adaptive rnn for video summarization
Bin Zhao, Xuelong Li, and Xiaoqiang Lu · 2018
Closest in time.
Deep reinforcement learning for unsupervised video summarization with diversity-representativeness reward
Kaiyang Zhou, Yu Qiao, and Tao Xiang · 2018
Closest in time.