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Micro-videos are six-second videos popular on social media networks with several unique properties.
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
Platt, J., et al.: · 1999
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Photography: A cultural history
Marien, M.W.: · 2002
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Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure
Saerens, M., Latinne, P., Decaestecker, C.: · 2002
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Dataset issues in object recognition
Ponce, J., Berg, T.L., Everingham, M., Forsyth, D.A., Hebert, M., Lazebnik, S., Marszalek, M., Schmid, C., Russell, B.C., Torralba, A., et al.: · 2006
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A new baseline for image annotation
Makadia, A., Pavlovic, V., Kumar, S.: · 2008
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: · 2009
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Actions in context
Marszalek, M., Laptev, I., Schmid, C.: · 2009
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Video2text: Learning to annotate video content
Aradhye, H., Toderici, G., Yagnik, J.: · 2009
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Tubetagger-youtube-based concept detection
Ulges, A., Koch, M., Borth, D., Breuel, T.M.: · 2009
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What is twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., Moon, S.: · 2010
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Ut-interaction dataset, icpr contest on semantic description of human activities (sdha) (2010)
Ryoo, M., Aggarwal, J.: · 2010
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Modeling temporal structure of decomposable motion segments for activity classification
Niebles, J.C., Chen, C.W., Fei-Fei, L.: · 2010
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Finding meaning on youtube: Tag recommendation and category discovery
Toderici, G., Aradhye, H., Pasca, M., Sbaiz, L., Yagnik, J.: · 2010
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Modeling and analysis of dynamic behaviors of web image collections
Kim, G., Xing, E.P., Torralba, A.: · 2010
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HMDB: a large video database for human motion recognition
Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.: · 2011
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Analyzing the dynamic evolution of hashtags on twitter: a language-based approach
Cunha, E., Magno, G., Comarela, G., Almeida, V., Gonçalves, M.A., Benevenuto, F.: · 2011
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Understanding egocentric activities
Fathi, A., Farhadi, A., Rehg, J.M.: · 2011
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Fast unsupervised ego-action learning for first-person sports videos
Kitani, K.M., Okabe, T., Sato, Y., Sugimoto, A.: · 2011
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Discriminative tag learning on youtube videos with latent sub-tags
Yang, W., Toderici, G.: · 2011
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On the expressive power of deep architectures
Bengio, Y., Delalleau, O.: · 2011
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Libsvm: a library for support vector machines
Chang, C.C., Lin, C.J.: · 2011
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6 seconds of sound and vision: Creativity in micro-videos
Redi, M., O’Hare, N., Schifanella, R., Trevisiol, M., Jaimes, A.: · 2014
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Degree of loop assessment in microvideo
Sano, S., Yamasaki, T., Aizawa, K.: · 2014
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Predicting important objects for egocentric video summarization
Lee, Y.J., Grauman, K.: · 2014
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Large-scale video classification with convolutional neural networks
Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., Fei-Fei, L.: · 2014
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Cnn features off-the-shelf: an astounding baseline for recognition
Razavian, A.S., Azizpour, H., Sullivan, J., Carlsson, S.: · 2014
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Two-stream convolutional networks for action recognition in videos
Simonyan, K., Zisserman, A.: · 2014
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Unbiased look at dataset bias
Torralba, A., Efros, A.A.: · 2011
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Ucf101: A dataset of 101 human actions classes from videos in the wild
Soomro, K., Zamir, A.R., Shah, M.: · 2012
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Detecting activities of daily living in first-person camera views
Pirsiavash, H., Ramanan, D.: · 2012
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Handling uncertain tags in visual recognition
Vahdat, A., Mori, G.: · 2013
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Neil: Extracting visual knowledge from web data
Chen, X., Shrivastava, A., Gupta, A.: · 2013
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Action recognition with improved trajectories
Wang, H., Schmid, C.: · 2013
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Imagenet video object detection
Liu, W., Berg, A.: · 2015
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Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, B.G., Niebles, J.C.: · 2015
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Eventnet: A large scale structured concept library for complex event detection in video
Ye, G., Li, Y., Xu, H., Liu, D., Chang, S.F.: · 2015
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Thumos challenge: Action recognition with a large number of classes (2015)
Gorban, A., Idrees, H., Jiang, Y., Zamir, A.R., Laptev, I., Shah, M., Sukthankar, R.: · 2015
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2015
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Pooled motion features for first-person videos
Ryoo, M.S., Rothrock, B., Matthies, L.: · 2015
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A discriminative cnn video representation for event detection
Z. Xu, Y. Yang, A.H.: · 2015
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Multi-scale recognition with dag-cnns
Yang, S., Ramanan, D.: · 2015
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