D. Vo-nguyen, J. Jung, J. Thiesse, and M. Antonini, Schéma de compression vidéo basé sur l?exploitation d?un décodeur intelligent, Proceeding of COmpression et REprésentation des Signaux Audiovisuels (CORESA), p.2013

D. Vo-nguyen, J. Jung, J. Thiesse, and M. Antonini, Smart decoder: A new paradigm for video coding, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), p.2014
DOI : 10.1109/ICASSP.2014.6855034

J. Patent, D. Jung, M. Vo-nguyen, and . Antonini, Codage d'image et de vidéo par apprentissage et classification, p.2015

J. An, Y. Chen, J. Lin, Y. Huang, and S. Lei, Inter-view motion prediction for hevc-based 3d video coding, p.2012

J. An, K. Zhang, J. Lin, and S. Lei, Sub-pu level inter-view motion prediction, 2013.

B. Bai, L. Cheng, C. Lei, P. Boulanger, and J. Harms, Learning-based multiview video coding, Picture Coding Symposium (PCS), 2009.

S. T. Birchfield and S. Rangarajan, Spatiograms versus Histograms for Region-Based Tracking, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.1158-1163, 2005.
DOI : 10.1109/CVPR.2005.330

G. Bjøntegaard, V. , I. Vceg, and . Meeting, Calculation of average PSNR differences between RD curves, 2001.

X. Cao, C. Lai, Y. Wang, L. Liu, J. Zheng et al., Short Distance Intra Coding Scheme for High Efficiency Video Coding, IEEE Transactions on Image Processing, vol.22, issue.2, pp.790-801
DOI : 10.1109/TIP.2012.2222904

P. Carrillo, T. Pin, and H. Kalva, Low complexity H.264 video encoder design using machine learning techniques, 2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE), p.2010
DOI : 10.1109/ICCE.2010.5418749

L. Cheng and S. V. Vishwanathan, Learning to compress images and videos, Proceedings of the 24th international conference on Machine learning, ICML '07, 2007.
DOI : 10.1145/1273496.1273517

. Cisco, http://www.cisco.com/c/en/us/solutions/collateral/service-provider/ip- ngn-ip-next-generation-network/white-paper-c11-481360.html, pp.2014-2019

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, 1995.
DOI : 10.1007/BF00994018

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

C. Di and C. Yuan, A novel fast mode decision algorithm for H.264/AVC based on probabilistic learning, 2010 3rd International Congress on Image and Signal Processing, 2010.
DOI : 10.1109/CISP.2010.5648229

T. T. Do, X. Lu, and J. Sole, Compressive sensing with adaptive pixel domain reconstruction for block-based video coding, 2010 IEEE International Conference on Image Processing, pp.3377-3380, 2010.
DOI : 10.1109/ICIP.2010.5652726

F. Dufaux and F. Moscheni, Motion estimation techniques for digital TV: a review and a new contribution, Proc. IEEE, pp.858-876, 1995.
DOI : 10.1109/5.387089

O. D. Escoda, P. Yin, C. Dai, and X. Li, Geometry-adaptive block partitioning for video coding, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.657-660, 2007.

I. Fogel and D. Sagi, Gabor filters as texture discriminator, Biological Cybernetics, vol.61, issue.2, 1989.
DOI : 10.1007/BF00204594

D. Han, T. Purushotham, K. V. Swaroop, and K. R. Rao, Low complexity h.264 encoder using machine learning, Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), p.2010

P. Helle, S. Oudin, B. Bross, D. Marpe, M. O. Bici et al., Block Merging for Quadtree-Based Partitioning in HEVC, IEEE Transactions on Circuits and Systems for Video Technology, vol.22, issue.12, p.12, 2012.
DOI : 10.1109/TCSVT.2012.2223051

B. K. Horn and B. G. Schunck, Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981.
DOI : 10.1016/0004-3702(81)90024-2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1651

R. Jillani and H. Kalva, Low complexity intra MB encoding in AVC/H.264, IEEE Transactions on Consumer Electronics, vol.55, issue.1, pp.277-285, 2009.
DOI : 10.1109/TCE.2009.4814446

T. Joachims, Making large-scale svm learning practical Advances in Kernel Methods -Support Vector Learning, 1999.

J. Jung and G. Laroche, Competition-based scheme for motion vector selection and coding. VCEG-AC06, 2006.

H. Kalva and L. Christodoulou, Using machine learning for fast intra mb coding in h.264. Visual Communications and Image Processing, 2007.

S. Kamp, J. Ballé, and M. Wien, Multihypothesis prediction using decoder side-motion vector derivation in inter-frame video coding, Visual Communications and Image Processing 2009, 2009.
DOI : 10.1117/12.805923

S. Kamp, M. Evertz, and M. Wien, Decoder side motion vector derivation for inter frame video coding, IEEE International Conference on Image Processing (ICIP), pp.1120-1123, 2008.

R. Krishnamurthy, P. Moulin, and J. Woods, Optical flow techniques applied to video coding, Proceedings., International Conference on Image Processing, pp.570-573, 1995.
DOI : 10.1109/ICIP.1995.531430

C. H. Lampert, Machine Learning for Video Compression: Macroblock Mode Decision, 18th International Conference on Pattern Recognition (ICPR'06), 2006.
DOI : 10.1109/ICPR.2006.778

G. Laroche, Modules de Codage par Competition et Suppression de l'Information de Competition pour le Codage de Séquences Video, 2009.

G. Laroche, J. Jung, and B. Pesquet, Intra prediction with 1D macroblock partitioning for image and video coding, Visual Communications and Image Processing 2009, 2009.
DOI : 10.1117/12.805846

S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2169-2178, 2006.
DOI : 10.1109/CVPR.2006.68

URL : https://hal.archives-ouvertes.fr/inria-00548585

X. Li, L. Zhang, and Y. Chen, Advanced residual prediction in 3d-hevc, IEEE International Conference on Image Processing (ICIP), pp.1747-1751

C. Liu, Beyond pixel, Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, ICIMCS '15, 2009.
DOI : 10.1145/2808492.2808573

C. Liu, Optical flow matlab/c++ code. http://people.csail.mit, p.2012

D. G. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1150-1157, 1999.
DOI : 10.1109/ICCV.1999.790410

B. D. Lucas and T. Kanade, An iterative image registration technique with an application to stereo vision, Proceedings of the DARPA Image Understanding Workshop, pp.121-130, 1981.

W. Ma, S. Yang, L. Gao, C. Pei, and S. Yan, Fast mode selection scheme for H.264/AVC inter prediction based on statistical learning method, 2009 IEEE International Conference on Multimedia and Expo, 2009.
DOI : 10.1109/ICME.2009.5202425

D. Marpe, H. Schwarz, and T. Wiegand, Context-based adaptive binary arithmetic coding in the h, avc video compression standard. IEEE Transactions on Circuits and Systems for Video Technology, 2003.

E. G. Mora and T. Paristech, Codage multi-vues multi-profondeur pour de nouveaux services multimédia, 2014.

K. Muller, 3D High-Efficiency Video Coding for Multi-View Video and Depth Data, IEEE Transactions on Image Processing, vol.22, issue.9, p.2013
DOI : 10.1109/TIP.2013.2264820

K. Muller, P. Merkle, G. Tech, and T. Wiegand, 3d video coding with depth modeling modes and view synthesis optimization, Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), pp.1-4, 2012.

T. Ojala, M. Pietikäinen, and D. Harwood, Performance evaluation of texture measures with classification based on Kullback discrimination of distributions, Proceedings of 12th International Conference on Pattern Recognition, pp.582-585, 1994.
DOI : 10.1109/ICPR.1994.576366

T. Ojala, M. Pietikäinen, and D. Harwood, A comparative study of texture measures with classification based on feature distributions, International Conference on Pattern Recognition, pp.51-59, 1996.

Y. Q. Shi, S. Lin, and Y. Q. Zhang, Optical flow-based motion compensation algorithm for very low-bit-rate video coding, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.2869-2872, 1997.
DOI : 10.1002/(SICI)1098-1098(1998)9:4<230::AID-IMA5>3.0.CO;2-B

K. Sugimoto, M. Kobayashi, Y. Suzuki, S. Kato, and C. S. Boon, Inter frame coding with template matching spatio-temporal prediction, 2004 International Conference on Image Processing, 2004. ICIP '04., pp.465-468, 2004.
DOI : 10.1109/ICIP.2004.1418791

G. J. Sullivan, J. Ohm, W. Han, and T. Wiegand, Overview of the High Efficiency Video Coding (HEVC) Standard, IEEE Transactions on Circuits and Systems for Video Technology, p.10, 2012.
DOI : 10.1109/TCSVT.2012.2221191

T. K. Tan, C. S. Boon, and Y. Suzuki, Intra Prediction by Template Matching, 2006 International Conference on Image Processing, pp.1693-1696, 2006.
DOI : 10.1109/ICIP.2006.312685

G. Tech, Htm9.3 software. https

J. Thiesse, Codage Vidéo Flexible par Association d'un Décodeur Intelligent et d'un Encodeur Basé Optimisation Débit-Distorsion, p.34, 2012.

J. Thiesse, J. Jung, and M. Antonini, Hybrid-1D macroblock prediction for video compression, 17th European Signal Processing Conference, pp.554-558, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00525000

H. R. Tohidypour, M. T. Pourazad, and P. Nasiopoulos, A low complexity mode decision approach for HEVC-based 3D video coding using a Bayesian method, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), p.2014
DOI : 10.1109/ICASSP.2014.6853726

B. Tomasik, P. Thiha, and D. Turnbull, Tagging products using image classification, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '09, 2009.
DOI : 10.1145/1571941.1572131

A. Vedaldi and B. Fulkerson, Vlfeat, Proceedings of the international conference on Multimedia, MM '10, pp.1469-1472, 2010.
DOI : 10.1145/1873951.1874249

J. Xiong and H. Li, Fast and efficient prediction unit size selection for HEVC intra prediction, 2012 International Symposium on Intelligent Signal Processing and Communications Systems, p.2012
DOI : 10.1109/ISPACS.2012.6473512

L. Zhang, Y. Chen, V. Thirumalai, J. Lin, Y. Chen et al., Inter-view motion prediction in 3D-HEVC, 2014 IEEE International Symposium on Circuits and Systems (ISCAS), pp.17-20
DOI : 10.1109/ISCAS.2014.6865054

URL : https://hal.archives-ouvertes.fr/hal-00992942

X. Zhou, C. Yuan, C. Li, and Y. Zhong, Fast mode decision for p-slices in h.264/avc based on probabilistic learning, 11th International Conference on Advanced Communication Technology, 2009.