Large-Scale Video Understanding with Limited Training Labels

[1]  Zi Huang,et al.  Robust Hashing With Local Models for Approximate Similarity Search , 2014, IEEE Transactions on Cybernetics.

[2]  Chao Ma,et al.  Supervised Recurrent Hashing for Large Scale Video Retrieval , 2016, ACM Multimedia.

[3]  Wei Liu,et al.  Robust and Scalable Graph-Based Semisupervised Learning , 2012, Proceedings of the IEEE.

[4]  Qing Tian,et al.  Cross-heterogeneous-database age estimation through correlation representation learning , 2017, Neurocomputing.

[5]  Peng Jin,et al.  Fast reference frame selection based on content similarity for low complexity HEVC encoder , 2016, J. Vis. Commun. Image Represent..

[6]  Shuicheng Yan,et al.  Learning With $\ell ^{1}$-Graph for Image Analysis , 2010, IEEE Transactions on Image Processing.

[7]  Nicu Sebe,et al.  Quantization-based hashing: a general framework for scalable image and video retrieval , 2018, Pattern Recognit..

[8]  David J. Fleet,et al.  Fast Exact Search in Hamming Space With Multi-Index Hashing , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[10]  Nicu Sebe,et al.  A Survey on Learning to Hash , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Meng Wang,et al.  Play and Rewind: Optimizing Binary Representations of Videos by Self-Supervised Temporal Hashing , 2016, ACM Multimedia.

[12]  Pablo N. Mendes,et al.  Improving efficiency and accuracy in multilingual entity extraction , 2013, I-SEMANTICS '13.

[13]  Rongrong Ji,et al.  Weakly Supervised Multi-Graph Learning for Robust Image Reranking , 2014, IEEE Transactions on Multimedia.

[14]  Subramanian Ramanathan,et al.  Multitask Linear Discriminant Analysis for View Invariant Action Recognition , 2014, IEEE Transactions on Image Processing.

[15]  Mikhail Belkin,et al.  Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..

[16]  Yiannis Kompatsiaris,et al.  Content-based binary image retrieval using the adaptive hierarchical density histogram , 2011, Pattern Recognit..

[17]  Nicolas Le Roux,et al.  Ask the locals: Multi-way local pooling for image recognition , 2011, 2011 International Conference on Computer Vision.

[18]  Nicu Sebe,et al.  Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation , 2016, IEEE Transactions on Image Processing.

[19]  Cordelia Schmid,et al.  TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[20]  Hao Wang,et al.  ReFinder: A Context-Based Information Refinding System , 2013, IEEE Transactions on Knowledge and Data Engineering.

[21]  Jiwen Lu,et al.  Deep Video Hashing , 2017, IEEE Transactions on Multimedia.

[22]  Lorenzo Torresani,et al.  Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).

[23]  Yale Song,et al.  TGIF: A New Dataset and Benchmark on Animated GIF Description , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[24]  Vladimir Pavlovic,et al.  Baselines for Image Annotation , 2010, International Journal of Computer Vision.

[25]  Xu Zhao,et al.  Context-Associative Hierarchical Memory Model for Human Activity Recognition and Prediction , 2017, IEEE Transactions on Multimedia.

[26]  Jiřı́ Matas,et al.  Real-time scene text localization and recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[27]  G. Sperling A Model for Visual Memory Tasks1 , 1963, Human factors.

[28]  Zi Huang,et al.  Effective Multiple Feature Hashing for Large-Scale Near-Duplicate Video Retrieval , 2013, IEEE Transactions on Multimedia.

[29]  S T Roweis,et al.  Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.

[30]  Shih-Fu Chang,et al.  Submodular video hashing: a unified framework towards video pooling and indexing , 2012, ACM Multimedia.