R. Achanta, Finding objects of interest in images using saliency and superpixels, 2011.

R. Achanta, F. Estrada, P. Wils, and S. Süsstrunk, Salient Region Detection and Segmentation, Computer Vision Systems, pp.66-75, 2008.
DOI : 10.1007/978-3-540-79547-6_7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.1500

R. Achanta, S. Hemami, F. Estrada, and S. Süsstrunk, Frequency-tuned salient region detection, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.1597-1604, 2009.
DOI : 10.1109/CVPR.2009.5206596
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.1955

R. Achanta and S. Susstrunk, Saliency detection for content-aware image resizing, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.1005-1008, 2009.
DOI : 10.1109/ICIP.2009.5413815

R. Achanta and S. Susstrunk, Saliency detection using maximum symmetric surround, 2010 IEEE International Conference on Image Processing, pp.2653-2656, 2010.
DOI : 10.1109/ICIP.2010.5652636
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.6297

J. Antonio and S. Rodriguez, Attention visual search and object recognition

S. Avidan and A. Shamir, Seam carving for content-aware image resizing, ACM Transactions on Graphics, vol.26, issue.3, p.10, 2007.
DOI : 10.1145/1276377.1276390
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.7257

M. Behrmann, J. Geng, and S. Shomstein, Parietal cortex and attention, Current Opinion in Neurobiology, vol.14, issue.2, pp.212-217, 2004.
DOI : 10.1016/j.conb.2004.03.012
URL : http://repository.cmu.edu/cgi/viewcontent.cgi?article=1130&context=psychology

N. P. Bichot, Attention, Eye Movements, and Neurons: Linking Physiology and Behavior, Vision and attention, pp.209-232, 2001.
DOI : 10.1007/978-0-387-21591-4_11

A. Borji and L. Itti, State-of-the-Art in Visual Attention Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.1, pp.185-207, 2013.
DOI : 10.1109/TPAMI.2012.89

A. Borji, N. Dicky, L. Sihite, and . Itti, Salient object detection : A benchmark, ECCV, pp.414-429, 2012.

C. K. Chang, C. Siagian, and L. Itti, Mobile robot vision navigation & localization using gist and saliency, Intelligent Robots and Systems (IROS) IEEE/RSJ International Conference on, pp.4147-4154, 2010.

L. Chang, P. C. Yuen, and G. Qiu, Object motion detection using information theoretic spatio-temporal saliency. Pattern Recogn, pp.422897-2906, 2009.

M. M. Cheng, G. X. Zhang, N. J. Mitra, X. Huang, and S. M. Hu, Global contrast based salient region detection, Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp.409-416, 2011.
DOI : 10.1109/cvpr.2011.5995344
URL : http://cg.cs.tsinghua.edu.cn/papers/PAMI-2014-Saliency.pdf

D. Chetverikov and R. Péteri, A Brief Survey of Dynamic Texture Description and Recognition, Computer Recognition Systems, pp.17-26, 2005.
DOI : 10.1007/3-540-32390-2_2

G. Doretto, A. Chiuso, Y. N. Wu, and S. Soatto, Dynamic textures, International Journal of Computer Vision, vol.51, issue.2, pp.91-109, 2003.
DOI : 10.1023/A:1021669406132

J. Duncan and G. W. Humphreys, Visual search and stimulus similarity., Psychological Review, vol.96, issue.3, pp.117-120, 1989.
DOI : 10.1037/0033-295X.96.3.433

G. Farnebäck, Two-Frame Motion Estimation Based on Polynomial Expansion, Proceedings of the 13th SCIA, 2003.
DOI : 10.1007/3-540-45103-X_50

T. Fawcett, An introduction to roc analysis. Pattern recognition letters, pp.861-874, 2006.

S. Frintrop, VOCUS : A visual attention system for object detection and goal-directed search, 2006.
DOI : 10.1007/11682110

S. Frintrop, Computational Visual Attention, 2011.
DOI : 10.1007/978-0-85729-994-9_4

S. Frintrop and P. Jensfelt, Attentional Landmarks and Active Gaze Control for Visual SLAM, IEEE Transactions on Robotics, vol.24, issue.5, pp.1054-1065, 2008.
DOI : 10.1109/TRO.2008.2004977

X. Gao, W. Lu, D. Tao, and X. Li, Image quality assessment and human visual system, Visual Communications and Image Processing 2010, pp.77440-77440, 2010.
DOI : 10.1117/12.862431

S. Goferman and L. , Zelnik-manor, and A. Tal. Context-aware saliency detection, IEEE Conf. on Computer Vision and Pattern Recognition, 2010.

C. L. Guo and L. M. Zhang, A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression, IEEE TIP, vol.19, issue.1, pp.185-198, 2010.

B. Han and B. Zhou, High Speed Visual Saliency Computation on GPU, 2007 IEEE International Conference on Image Processing, 2007.
DOI : 10.1109/ICIP.2007.4378966

J. Harel, C. Koch, and P. Perona, Graph-based visual saliency Advances in neural information processing systems, p.545, 2007.

X. Hou and L. Zhang, Dynamic visual attention : searching for coding length increments, NIPS, p.7, 2008.

L. Huang and H. Pashler, A Boolean map theory of visual attention., Psychological Review, vol.114, issue.3, p.599, 2007.
DOI : 10.1037/0033-295X.114.3.599

L. Itti, Models of Bottom-Up and Top-Down Visual Attention, 2000.

L. Itti, Automatic Foveation for Video Compression Using a Neurobiological Model of Visual Attention, IEEE Transactions on Image Processing, vol.13, issue.10, pp.1304-1318, 2004.
DOI : 10.1109/TIP.2004.834657

L. Itti, Quantifying the contribution of low-level saliency to human eye movements in dynamic scenes, Visual Cognition, vol.26, issue.6, pp.1093-1123, 2005.
DOI : 10.1038/23936

S. Walter, K. R. Gegenfurtner, and D. I. Braun, Visual Inforamtion processing in the brain, 2014.

]. W. Kim, C. Jung, and C. Kim, Spatiotemporal Saliency Detection and Its Applications in Static and Dynamic Scenes, IEEE Transactions on Circuits and Systems for Video Technology, vol.21, issue.4, pp.446-456, 2011.
DOI : 10.1109/TCSVT.2011.2125450

C. Koch and S. Ullman, Shifts in selection in visual attention :toward the underlying neural circuitry, Human Neurobiology, vol.4, issue.4, pp.219-246, 1985.

O. , L. Meur, and T. Baccino, Methods for comparing scanpaths and saliency maps : strengths and weaknesses. Behavior research methods, pp.251-266, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00757615

O. , L. Meur, P. L. Callet, and D. Barba, Predicting visual fixations on video based on low-level visual features, Vision research, vol.47, pp.2483-2498, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00287424

O. , L. Meur, P. L. Callet, D. Barba, and D. Thoreau, A coherent computational approach to model bottom-up visual attention. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.5, pp.802-817, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00669578

L. Li, W. Huang, I. H. Gu, and Q. Tian, Statistical Modeling of Complex Backgrounds for Foreground Object Detection, IEEE Transactions on Image Processing, vol.13, issue.11, pp.1459-1472, 2004.
DOI : 10.1109/TIP.2004.836169

L. Ltti, C. Koch, and E. Neibur, A model of saliency-based visual attention for rapid scene analysis, IEEE Trans on Pattern Analysis and Machine Intelligence, vol.20, pp.1254-1259, 1998.

T. Lu, Z. Yuan, Y. Huang, D. Wu, and H. Yu, Video retargeting with nonlinear spatialtemporal saliency fusion, ICIP, 2010.

P. Anandan and M. J. Black, The robust estimation of multiple motions : Parametric and piecewise-smooth flow fields, CVIU, vol.63, issue.1, pp.74-104, 1996.

V. Mahadevan and N. Vasconcelos, Saliency-based discriminant tracking, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.1007-1013, 2009.
DOI : 10.1109/CVPR.2009.5206573
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.1372

V. Mahadevan and N. Vasconcelos, Spatiotemporal Saliency in Dynamic Scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.1, pp.171-177, 2010.
DOI : 10.1109/TPAMI.2009.112

M. Mancas, Attention-based dense crowds analysis, Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on, pp.1-4, 2010.

M. Mancas, N. Riche, J. Leroy, and B. Gosselin, Abnormal motion selection in crowds using bottom-up saliency, 2011 18th IEEE International Conference on Image Processing, pp.229-232, 2011.
DOI : 10.1109/ICIP.2011.6116099

S. Marat, T. H. Phuoc, L. Granjon, N. Guyader, D. Pellerin et al., Modelling Spatio-Temporal Saliency to Predict Gaze Direction for??Short Videos, International Journal of Computer Vision, vol.15, issue.3, pp.82231-243, 2009.
DOI : 10.1007/s11263-009-0215-3
URL : https://hal.archives-ouvertes.fr/hal-00368496

S. M. Muddamsetty, D. Sidibé, A. Trémeau, and F. Mériaudeau, A performance evaluation of fusion techniques for spatio-temporal saliency detection in dynamic scenes, 2013 IEEE International Conference on Image Processing, 2013.
DOI : 10.1109/ICIP.2013.6738808
URL : https://hal.archives-ouvertes.fr/hal-00835782

N. Society, Brain Facts : a primer on the brain and the nervous system, 2008.

T. Ojala, M. Pietikäinen, and D. Harwood, A comparative study of texture measures with classification based on featured distributions, Pattern Recognition, vol.29, issue.1, pp.51-59, 1996.
DOI : 10.1016/0031-3203(95)00067-4

J. Peng and Q. Xiaolin, Keyframe-based video summary using visual attention clues, IEEE on MultiMedia, vol.17, issue.2, pp.64-73, 2010.

F. Perazzi, P. Krahenbuhl, Y. Pritch, and A. Hornung, Saliency filters: Contrast based filtering for salient region detection, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.733-740, 2012.
DOI : 10.1109/CVPR.2012.6247743

R. J. Peters, A. Iyer, C. Koch, and L. Itti, Components of bottom-up gaze allocation in natural scenes, Journal of Vision, vol.5, issue.8, pp.692-692, 2005.
DOI : 10.1167/5.8.692

M. Pietikäinen, G. Zhao, A. Hadid, and T. Ahonen, Computer Vision Using Local Binary Patterns. Number 40 in Computational Imaging and Vision, 2011.

Y. Pinto, A. R. Van-der-leij, I. Sligte, A. F. Victor, H. S. Lamme et al., Bottom-up and top-down attention are independent, Journal of Vision, vol.13, issue.3, p.16, 2013.
DOI : 10.1167/13.3.16

M. I. Posner and S. E. Petersen, The Attention System of the Human Brain, Annual Review of Neuroscience, vol.13, issue.1, pp.25-42, 1990.
DOI : 10.1146/annurev.ne.13.030190.000325

D. S. Kim, R. Goebel, and L. , The Human Nervous System, chapter Visual System, pp.1280-1305, 2004.

E. Rahtu, J. Kannala, M. Salo, and J. Heikkilä, Segmenting Salient Objects from Images and Videos, Computer Vision?ECCV 2010, pp.366-379, 2010.
DOI : 10.1007/978-3-642-15555-0_27
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.8723

N. Riche, M. Mancas, D. Culibrk, V. Crnojevic, B. Gosselin et al., Dynamic Saliency Models and Human Attention: A Comparative Study on Videos, Computer Vision?ACCV 2012, pp.586-598, 2013.
DOI : 10.1007/978-3-642-37431-9_45

H. J. Seo and P. Milanfar, Static and space-time visual saliency detection by selfresemblance, Journal of vision, vol.9, issue.12, 2009.

D. Sidibé, D. Fofi, and F. Mériaudeau, Using visual saliency for object tracking with particle filters, EUSIPCO, 2010.

H. Thorsten, A Neural Model of Early Vision :Contrast, Contours, Corners and Surfaces, 2003.

K. Toyama and G. Hager, Incremental focus of attention for robust vision-based tracking, International Journal of Computer Vision, vol.35, issue.1, pp.45-63, 1999.
DOI : 10.1023/A:1008159011682

A. M. Treisman and G. Gelade, A feature-integration theory of attention, Cognitive Psychology, vol.12, issue.1, pp.97-136, 1980.
DOI : 10.1016/0010-0285(80)90005-5

S. K. Ungerleider and G. Leslie, Mechanisms of Visual Attention in the Human Cortex, Annual Review of Neuroscience, vol.23, issue.1, pp.315-341, 2000.
DOI : 10.1146/annurev.neuro.23.1.315

Y. S. Wang, C. L. Tai, O. Sorkine, and T. Y. Lee, Optimized scale-and-stretch for image resizing, In ACM Transactions on Graphics, vol.27, p.118, 2008.

J. Wolfe, Guided Search 2.0 A revised model of visual search, Psychonomic Bulletin & Review, vol.18, issue.2, pp.202-238, 1994.
DOI : 10.3758/BF03200774

X. Xiao, C. Xu, and Y. Rui, Video based 3D reconstruction using spatio-temporal attention analysis, 2010 IEEE International Conference on Multimedia and Expo, 2010.
DOI : 10.1109/ICME.2010.5582982

A. Yilmaz, O. Javed, and M. Shah, Object tracking, Saliency using natural statistics for dynamic analysis of scenes. InProceedings of the 31st Annual Cognitive Science Conference, pp.2944-2949, 2006.
DOI : 10.1145/1177352.1177355

L. Zhang, M. Tong, T. K. Marks, H. Shan, and G. W. Cottrell, SUN: A Bayesian framework for saliency using natural statistics, Journal of Vision, vol.8, issue.7, p.32, 2008.
DOI : 10.1167/8.7.32

G. Zhao and M. Pietikäinen, Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.6, pp.915-928, 2007.
DOI : 10.1109/TPAMI.2007.1110

B. Zhou, X. Hou, L. Zhang, and A. , A Phase Discrepancy Analysis of Object Motion, InProceeding of the 10th Asian Confernce of Computer Vision, pp.225-238, 2011.
DOI : 10.1109/CVPR.2007.383267