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Videos can evoke a range of affective responses in viewers.
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David G Lowe · 2004
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Alan Hanjalic and Li-Qun Xu · 2005
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Hee Lin Wang and Loong-Fah Cheong · 2006
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Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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A bayesian framework for video affective representation
Mohammad Soleymani, Joep JM Kierkels, Guillaume Chanel, and Thierry Pun · 2009
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Utilizing affective analysis for efficient movie browsing
Shiliang Zhang, Qi Tian, Qingming Huang, Wen Gao, and Shipeng Li · 2009
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Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers
Alexandre Schaefer, Frédéric Nils, Xavier Sanchez, and Pierre Philippot · 2010
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Assessment of emotional experience through facial expression, 2011
Karim Kassam · 2011
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Deap: A database for emotion analysis; using physiological signals
Sander Koelstra, Christian Muhl, Mohammad Soleymani, Jong-Seok Lee, Ashkan Yazdani, Touradj Ebrahimi, Thierry Pun, Anton Nijholt, and Ioannis Patras · 2012
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A multimodal database for affect recognition and implicit tagging
Mohammad Soleymani, Jeroen Lichtenauer, Thierry Pun, and Maja Pantic · 2012
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https://www.youtube.com/watch?v=wf_77z1H-vQ , 2013
Google i/o 2013 - semantic video annotations in the youtube topics api: Theory and applications · 2013
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Multimedia stimuli databases usage patterns: a survey report
Marko Horvat, Siniša Popović, and K Cosić · 2013
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Combining modality specific deep neural networks for emotion recognition in video
Samira Ebrahimi Kahou, Christopher Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron Courville, Yoshua Bengio, Raul Chandias Ferrari, et al · 2013
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Predicting online media effectiveness based on smile responses gathered over the internet
Daniel McDuff, Rana El Kaliouby, David Demirdjian, and Rosalind Picard · 2013
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Affectiva-mit facial expression dataset (am-fed): Naturalistic and spontaneous facial expressions collected
Daniel McDuff, Rana Kaliouby, Thibaud Senechal, May Amr, Jeffrey Cohn, and Rosalind Picard · 2013
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Video classification and recommendation based on affective analysis of viewers
Sicheng Zhao, Hongxun Yao, and Xiaoshuai Sun · 2013
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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
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Predicting emotions in user-generated videos
Yu-Gang Jiang, Baohan Xu, and Xiangyang Xue · 2014
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Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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A comprehensive study on mid-level representation and ensemble learning for emotional analysis of video material
Esra Acar, Frank Hopfgartner, and Sahin Albayrak · 2017
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Emotion recognition based on high-resolution eeg recordings and reconstructed brain sources
Hanna Becker, Julien Fleureau, Philippe Guillotel, Fabrice Wendling, Isabelle Merlet, and Laurent Albera · 2017
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Self-report captures 27 distinct categories of emotion bridged by continuous gradients
Alan S. Cowen and Dacher Keltner · 2017
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Factorized variational autoencoders for modeling audience reactions to movies
Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain Matthews, and Greg Mori · 2017
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Corpus development for affective video indexing
Mohammad Soleymani, Martha Larson, Thierry Pun, and Alan Hanjalic · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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https://developers.google.com/knowledge-graph/ , 2015
Knowledge graph search api · 2015
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Deep learning vs. kernel methods: Performance for emotion prediction in videos
Yoann Baveye, Emmanuel Dellandréa, Christel Chamaret, and Liming Chen · 2015
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Liris-accede: A video database for affective content analysis
Yoann Baveye, Emmanuel Dellandrea, Christel Chamaret, and Liming Chen · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Predicting ad liking and purchase intent: Large-scale analysis of facial responses to ads
Daniel McDuff, Rana El Kaliouby, Jeffrey F Cohn, and Rosalind W Picard · 2015
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Audio set: An ontology and human-labeled dataset for audio events
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter · 2017
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Automatic analysis of facial actions: A survey
Brais Martinez, Michel F Valstar, Bihan Jiang, and Maja Pantic · 2017
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Large-scale affective content analysis: Combining media content features and facial reactions
Daniel McDuff and Mohammad Soleymani · 2017
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Learnable pooling with context gating for video classification
Antoine Miech, Ivan Laptev, and Josef Sivic · 2017
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Athanasia Zlatintsi, Petros Koutras, Georgios Evangelopoulos, Nikolaos Malandrakis, Niki Efthymiou, Katerina Pastra, Alexandros Potamianos, and Petros Maragos · 2017
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Affective video content analysis: A multidisciplinary insight
Yoann Baveye, Christel Chamaret, Emmanuel Dellandréa, and Liming Chen · 2018
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The mediaeval 2018 emotional impact of movies task
Emmanuel Dellandréa, Liming Chen, Yoann Baveye, Mats Viktor Sjöberg, Christel Chamaret, et al · 2018
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Thuhcsi in mediaeval 2018 emotional impact of movies task
Ye Ma, Xihao Liang, and Mingxing Xu · 2018
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What the face displays: Mapping 28 emotions conveyed by naturalistic expression
Alan S Cowen and Dacher Keltner · 2019
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Moments in time dataset: one million videos for event understanding
Mathew Monfort, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Yan Yan, Lisa Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, et al · 2019
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Gla in mediaeval 2018 emotional impact of movies task
Jennifer J Sun, Ting Liu, and Gautam Prasad · 2019
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A compact embedding for facial expression similarity
Raviteja Vemulapalli and Aseem Agarwala · 2019
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