Large-Scale Video Classification with Convolutional Neural Networks

Keywords

Computer science, Convolutional neural network, Artificial intelligence, Pattern recognition (psychology), Generalization

References

• UCF101: A Dataset of 101 Human Actions Classes From Videos in The WildKhurram Soomro, Amir Zamir, Mubarak Shah — 2012
• Discriminative tag learning on YouTube videos with latent sub-tagsWeilong Yang, George Toderici — 2011
• Evaluation of Local Spatio-temporal Features for Action RecognitionHeng Wang, Muhammad Muneeb Ullah, Alexander Kläser — 2009
• Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysisQuoc V. Le, Will Y. Zou, Serena Yeung — 2011
• On Space-Time Interest PointsIvan Laptev — 2005
• Learning Hierarchical Features for Scene LabelingClément Farabet, Camille Couprie, Laurent Najman — 2013
• CNN Features Off-the-Shelf: An Astounding Baseline for RecognitionAli Sharif Razavian, Hossein Azizpour, Josephine Sullivan — 2014
• Recognizing realistic actions from videos “in the wild”Jingen Liu, Jiebo Luo, Mubarak Shah — 2009
• Rich Feature Hierarchies for Accurate Object Detection and Semantic SegmentationRoss Girshick, Jeff Donahue, Trevor Darrell — 2013
• ImageNet: A large-scale hierarchical image databaseJia Deng, Wei Dong, Richard Socher — 2009
• Gradient-based learning applied to document recognitionYann LeCun, Léon Bottou, Yoshua Bengio — 1998
• Action recognition by dense trajectoriesHeng Wang, Alexander Kläser, Cordelia Schmid — 2011
• Video Google: a text retrieval approach to object matching in videosSivic, Zisserman — 2003
• Learning realistic human actions from moviesIvan Laptev, Marcin Marszałek, Cordelia Schmid — 2008
• Histograms of oriented gradients for human detectionNavneet Dalal, Bill Triggs — 2005
• ImageNet classification with deep convolutional neural networksAlex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton — 2012
• Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy ImagesDan Cireşan, Alessandro Giusti, Luca Maria Gambardella — 2012
• Large Scale Distributed Deep NetworksJay B. Dean, Greg S. Corrado, Rajat Monga — 2012
• Visualizing and Understanding Convolutional Neural NetworksMatthew D. Zeiler, Rob Fergus — 2013
• Behavior recognition via sparse spatio-temporal featuresPiotr Dollár, Vincent Rabaud, Garrison W. Cottrell — 2005

Cited by

• Hierarchical Latent Concept Discovery for Video Event DetectionD Maxime — 2017
• Enhance Visual Recognition Under Adverse Conditions via Deep NetworksDing Liu, Bowen Cheng, Zhangyang Wang — 2017
• Employing automatic content recognition for teaching methodology analysis in classroom videosMonique Dorizon — 2022
• A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component AnalysisSotirios Chatzis, Dimitrios Kosmopoulos — 2014
• Fully Convolutional Neural Networks for Crowd SegmentationKai Kang, Xiaogang Wang — 2014
• Learning Temporal Embeddings for Complex Video AnalysisVignesh Ramanathan, Kevin Tang, Greg Mori — 2015
• How Well Can a CNN Marginalize Simple Nuisances It is Designed for?Nikolaos Karianakis, Jingming Dong, Stefano Soatto — 2015
• SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNetLei Zhang, David Zhang — 2015
• Flowing ConvNets for Human Pose Estimation in VideosTomas Pfister, James Charles, Andrew Zisserman — 2015
• Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image taggingWonmin Byeon, Marcus Liwicki, Thomas M. Breuel — 2015
• Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in VideoLionel Pigou, Aäron van den Oord, Sander Dieleman — 2015
• Towards Good Practices for Very Deep Two-Stream ConvNetsLimin Wang, Yuanjun Xiong, Zhe Wang — 2015
• Pose Embeddings: A Deep Architecture for Learning to Match Human PosesGreg Mori, Caroline Pantofaru, Nisarg Kothari — 2015
• Self-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action SequencesMinju Jung, Jungsik Hwang, Jun Tani — 2015
• Supervised Learning Approaches for Automatic Structuring of Videos. (Méthodes d'apprentissage supervisé pour la structuration automatique de vidéos)Danila Potapov — 2015
• Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified FrameworkRan Xu, Caiming Xiong, Wei Chen — 2015
• The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action RecognitionZhenzhong Lan, Shoou-I Yu, Dezhong Yao — 2015
• Efficient large-scale action recognition in videos using extreme learning machinesGül Varol, Albert Ali Salah — 2015
• Recovering Spatiotemporal Correspondence between Deformable Objects by Exploiting Consistent Foreground Motion in VideoLuca Del Pero, Susanna Ricco, Rahul Sukthankar — 2014
• A modified vector of locally aggregated descriptors approach for fast video classificationIonuţ Mironică, Ionuţ Cosmin Duţă, Bogdan Ionescu — 2016

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