C. Cusano, G. Ciocca, and R. Schettini, Image annotation using SVM, Proceedings of SPIE - The International Society for Optical Engineering, pp.330-338, 2003.

J. Deng, W. Dong, and R. Socher, ImageNet: A large-scale hierarchical image database, pp.248-255, 2009.

P. Duygulu, K. Barnard, and J. Freitas, Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary, European Conference on Computer Vision, pp.97-112, 2002.
DOI : 10.1007/3-540-47979-1_7

G. Li and Y. Yu, Visual saliency based on multiscale deep features, Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference, 2015.

J. Li and J. Wang, Automatic Linguistic Indexing of Pictures by a statistical modeling approach, IEEE Transactions on Pattern Analysis & Machine Intelligence, issue.9, pp.251075-1088, 2003.

Y. Liu, D. Zhang, and G. Lu, A survey of content-based image retrieval with high-level semantics, Pattern Recognition, vol.40, issue.1, pp.262-282, 2007.
DOI : 10.1016/j.patcog.2006.04.045

Z. Li, Z. Shi, and W. Zhao, Learning semantic concepts from image database with hybrid generative/discriminative approach, Engineering Applications of Artificial Intelligence, vol.26, issue.9, pp.2143-2152
DOI : 10.1016/j.engappai.2013.07.004

A. Mahendran and A. Vedaldi, Understanding deep image representations by inverting them, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
DOI : 10.1109/CVPR.2015.7299155

F. Monay and D. Gatica-perez, Modeling Semantic Aspects for Cross-Media Image Indexing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.10, pp.291802-291819, 2007.
DOI : 10.1109/TPAMI.2007.1097

V. Mnih, K. Kavukcuoglu, and D. Silver, Human-level control through deep reinforcement learning, Nature, vol.101, issue.7540, pp.518529-518562, 2015.
DOI : 10.1016/S0004-3702(98)00023-X

A. Razavian, . Sharif, . Azizpour, . Hossein, and J. Sullivan, CNN Features Off-the-Shelf: An Astounding Baseline for Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.512-519
DOI : 10.1109/CVPRW.2014.131

J. Read, B. Pfahringer, and G. Holmes, Classifier chains for multi-label classification, Machine Learning, pp.85254-269, 2011.

O. Russakovsky, J. Deng, and H. Su, ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, vol.1010, issue.1, pp.211-252, 2015.
DOI : 10.1007/978-3-642-15555-0_11

URL : http://arxiv.org/pdf/1409.0575

P. Sermanet, D. Eigen, and X. Zhang, OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks, 2013.

A. Smeulders, M. Worring, and S. Santini, Content-based image retrieval at the end of the early years, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.12, pp.221349-1380, 2000.
DOI : 10.1109/34.895972

J. Wu, Y. Yu, and H. Chang, Deep multiple instance learning for image classification and auto-annotation, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3460-3469
DOI : 10.1109/CVPR.2015.7298968