Fetching the paper…
Reading the bibliography…
We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots.
Key frame selection by motion analysis
Wolf, W.: · 1996
Earlier work this paper cites.
An integrated system for content-based video retrieval and browsing
Zhang, H.J., Wu, J., Zhong, D., Smoliar, S.W.: · 1997
Earlier work this paper cites.
Long short-term memory
Hochreiter, S., Schmidhuber, J.: · 1997
Earlier work this paper cites.
Learning to forget: Continual prediction with lstm
Gers, F.A., Schmidhuber, J., Cummins, F.: · 2000
Earlier work this paper cites.
Event-driven video abstraction and visualization
Nam, J., Tewfik, A.H.: · 2002
Earlier work this paper cites.
Optimization algorithms for the selection of key frame sequences of variable length
Liu, T., Kender, J.R.: · 2002
Earlier work this paper cites.
A user attention model for video summarization
Ma, Y.F., Lu, L., Zhang, H.J., Li, M.: · 2002
Earlier work this paper cites.
Automatic video summarization by graph modeling
Ngo, C.W., Ma, Y.F., Zhang, H.: · 2003
Earlier work this paper cites.
Keyframe-based video summarization using delaunay clustering
Mundur, P., Rao, Y., Yesha, Y.: · 2006
Earlier work this paper cites.
Space-time video montage
Kang, H.W., Matsushita, Y., Tang, X., Chen, X.Q.: · 2006
Earlier work this paper cites.
Video summarization from spatio-temporal features
Laganière, R., Bacco, R., Hocevar, A., Lambert, P., Païs, G., Ionescu, B.E.: · 2008
Earlier work this paper cites.
Event driven summarization for web videos
Hong, R., Tang, J., Tan, H.K., Yan, S., Ngo, C., Chua, T.S.: · 2009
Earlier work this paper cites.
A hierarchical visual model for video object summarization
Liu, D., Hua, G., Chen, T.: · 2010
Earlier work this paper cites.
Stimo: Still and moving video storyboard for the web scenario
Furini, M., Geraci, F., Montangero, M., Pellegrini, M.: · 2010
Earlier work this paper cites.
Multi-video summarization based on video-mmr
Li, Y., Merialdo, B.: · 2010
Earlier work this paper cites.
Adapting visual category models to new domains
Saenko, K., Kulis, B., Fritz, M., Darrell, T.: · 2010
Earlier work this paper cites.
Vsumm: A mechanism designed to produce static video summaries and a novel evaluation method
de Avila, S.E.F., Lopes, A.P.B., da Luz, A., de Albuquerque Araújo, A.: · 2011
Earlier work this paper cites.
Learning determinantal point processes
Kulesza, A., Taskar, B.: · 2011
Cited alongside, same era.
Discovering important people and objects for egocentric video summarization
Lee, Y.J., Ghosh, J., Grauman, K.: · 2012
Cited alongside, same era.
Determinantal point processes for machine learning
Kulesza, A., Taskar, B.: · 2012
Cited alongside, same era.
Story-driven summarization for egocentric video
Lu, Z., Grauman, K.: · 2013
Cited alongside, same era.
Large-scale video summarization using web-image priors
Khosla, A., Hamid, R., Lin, C.J., Sundaresan, N.: · 2013
Cited alongside, same era.
New types of deep neural network learning for speech recognition and related applications: An overview
Deng, L., Hinton, G., Kingsbury, B.: · 2013
Cited alongside, same era.
Large-margin determinantal point processes
Chao, W.L., Gong, B., Grauman, K., Sha, F.: · 2015
Later among the works it cites.
Long-term recurrent convolutional networks for visual recognition and description
Donahue, J., Anne Hendricks, L., Guadarrama, S., Rohrbach, M., Venugopalan, S., Saenko, K., Darrell, T.: · 2015
Later among the works it cites.
Describing videos by exploiting temporal structure
Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C., Larochelle, H., Courville, A.: · 2015
Later among the works it cites.
Sequence to sequence-video to text
Venugopalan, S., Rohrbach, M., Donahue, J., Mooney, R., Darrell, T., Saenko, K.: · 2015
Later among the works it cites.
Deep visual-semantic alignments for generating image descriptions
Karpathy, A., Fei-Fei, L.: · 2015
Later among the works it cites.
Co-regularized deep representations for video summarization
Morere, O., Goh, H., Veillard, A., Chandrasekhar, V., Lin, J.: · 2015
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Speech recognition with deep recurrent neural networks
Graves, A., Mohamed, A.r., Hinton, G.: · 2013
Cited alongside, same era.
Diverse sequential subset selection for supervised video summarization
Gong, B., Chao, W.L., Grauman, K., Sha, F.: · 2014
Cited alongside, same era.
Creating summaries from user videos
Gygli, M., Grabner, H., Riemenschneider, H., Van Gool, L.: · 2014
Cited alongside, same era.
Towards end-to-end speech recognition with recurrent neural networks
Graves, A., Jaitly, N.: · 2014
Cited alongside, same era.
Translating videos to natural language using deep recurrent neural networks
Venugopalan, S., Xu, H., Donahue, J., Rohrbach, M., Mooney, R., Saenko, K.: · 2014
Cited alongside, same era.
Category-specific video summarization
Potapov, D., Douze, M., Harchaoui, Z., Schmid, C.: · 2014
Cited alongside, same era.
Later among the works it cites.
Tvsum: Summarizing web videos using titles
Song, Y., Vallmitjana, J., Stent, A., Jaimes, A.: · 2015
Later among the works it cites.
Video co-summarization: Video summarization by visual co-occurrence
Chu, W.S., Song, Y., Jaimes, A.: · 2015
Later among the works it cites.
Unsupervised extraction of video highlights via robust recurrent auto-encoders
Yang, H., Wang, B., Lin, S., Wipf, D., Guo, M., Guo, B.: · 2015
Later among the works it cites.
Show, attend and tell: Neural image caption generation with visual attention
Xu, K., Ba, J., Kiros, R., Courville, A., Salakhutdinov, R., Zemel, R., Bengio, Y.: · 2015
Later among the works it cites.
Jin, J., Fu, K., Cui, R., Sha, F., Zhang, C.: · 2015
Later among the works it cites.
A tight linear time (1/2)-approximation for unconstrained submodular maximization
Buchbinder, N., Feldman, M., Seffi, J., Schwartz, R.: · 2015
Later among the works it cites.
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: · 2015
Later among the works it cites.
Summary transfer: Exemplar-based subset selection for video summarization
Zhang, K., Chao, W.l., Sha, F., Grauman, K.: · 2016
Closest in time.
Return of frustratingly easy domain adaptation
Sun, B., Feng, J., Saenko, K.: · 2016
Closest in time.
Framewise phoneme classification with bidirectional lstm networks
Graves, A., Schmidhuber, J.: · 2052
Closest in time.
Geodesic flow kernel for unsupervised domain adaptation
Gong, B., Shi, Y., Sha, F., Grauman, K.: · 2073
Closest in time.