Itti, L. and Koch, C., "Computational modelling of visual attention," Nature Reviews Neuroscience 2, 194-203 (Mar 2001).
Olveczky, B. P., Baccus, S. A., and Meister, M., "Segregation of object and background motion in the retina," Nature 423, 401-408 (2003).
Witten, I. H. and Frank, E., [Data Mining: Practical machine learning tools and techniques, 2nd Edition], Morgan Kaufmann, San Francisco (2005).
Marques, O., Mayron, L. M., Borba, G. B., and Gamba, H. R., "An attention-driven model for grouping similar images with image retrieval applications," EURASIP Journal on Advances in Signal Processing 2007 (2007).
Styles, E. A., [Attention, Perception, and Memory: An Integrated Introduction], Taylor & Francis Routledge, New York, NY (2005).
James, W., [The Principles of Psychology, Vol. 1], Dover Publications (June 1950).
Wolfe, J. M., "Visual attention," in [Seeing], 335-386, Academic Press (2000).
Connor, C., Egeth, H., and Yantis, S., "Visual attention: bottom-up versus top-down," Current Biology 14(19), R850-R852 (2004).
Siagian, C. and Itti, L., "Rapid biologically-inspired scene classification using features shared with visual attention," IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 300-312 (Feb 2007).
Siagian, C. and Itti, L., "Biologically inspired mobile robot vision localization," IEEE Transactions on Robotics 25, 861-873 (July 2009).
Ma, Y.-F., Hua, X.-S., Lu, L., and Zhang, H.-J., "A generic framework of user attention model and its application in video summarization," Multimedia, IEEE Transactions on 7, 907-919 (Oct. 2005).
Culibrk, D., Mirkovic, M., Zlokolica, V., Pokric, M., Crnojevic, V., and Kukolj, D., "Salient motion features for video quality assessment," Image Processing, IEEE Transactions on (99), 1-1 (2010).
Itti, L., "Automatic foveation for video compression using a neurobiological model of visual attention," IEEE Transactions on Image Processing 13, 1304-1318 (Oct 2004).
Bruce, N. and Tsotsos, J., "Saliency based on information maximization," Advances in neural information processing systems 18, 155 (2006).
Seo, H. and Milanfar, P., "Static and space-time visual saliency detection by self-resemblance," Journal of Vision 9(12), 1-12 (2009).
Zhang, L., Tong, M., Marks, T., Shan, H., and Cottrell, G., "Sun: A bayesian framework for saliency using natural statistics," Journal of Vision 8(7), 1-20 (2008).
Mancas, M., Riche, N., and J. Leroy, B. G., "Abnormal motion selection in crowds using bottom-up saliency," in [IEEE ICIP], (2011).
Mahadevan, V. and Vasconcelos, N., "Spatiotemporal saliency in dynamic scenes," Pattern Analysis and Machine Intelligence, IEEE Transactions on 32(1), 171-177 (2010).
Itti, L., Koch, C., and Niebur, E., "A model of saliency-based visual attention for rapid scene analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 1254-1259 (Nov 1998).
Farnebäck, G., "Two-frame motion estimation based on polynomial expansion," in [SCIA], 363-370 (2003).
Li, L., Huang, W., Gu, I., and Tian, Q., "Statistical modeling of complex backgrounds for foreground object detection," in [IEEE Trans. Image Processing, vol. 13, pp. 1459-1472], (2004).
Rosin, L., "Thresholding for change detection," in [Proc. of the Sixth International Conference on Computer Vision (ICCV'98)], (1998).
Hodge, V. J. and Austin, J., "A survey of outlier detection methodologies," Artificial Intelligence Review 22, 85-126 (2004).
Rajashekar, U., van der Linde, I., Bovik, A., and Cormack, L., "Gaffe: A gaze-attentive fixation finding engine," Image Processing, IEEE Transactions on 17(4), 564-573 (2008).
Judd, T., Ehinger, K., Durand, F., and Torralba, A., "Learning to predict where humans look," in [Computer Vision, 2009 IEEE 12th International Conference on], 2106-2113, IEEE (2009).
Itti, L., "Crcns-orig video and eye tracking database." http://crcns.org/data-sets/eye/eye-1.
Mahadevan, V. and Vasconcelos, N., "Spatiotemporal saliency in dynamic scenes," IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 171-177 (2010).
Quinlan, R. J., "Learning with continuous classes," in [5th Australian Joint Conference on Artificial Intelligence], 343-348 (1992).
Webb, G., "Decision tree grafting from the all-tests-but-one partition," in [International Joint Conference on Artificial Intelligence], 16, 702-707, Citeseer (1999).
Peters, R. J., Iyer, A., Itti, L., and Koch, C., "Components of bottom-up gaze allocation in natural images," Vision Research 45, 2397-2416 (Aug 2005).
Borji, A., "Evaluation measures for saliency maps: Cc and nss." https://sites.google.com/site/saliencyevaluation/evaluation-measures.
