Mancas, M.: Relative influence of bottom-up and top-down attention. In: Paletta, L., Tsotsos, J.K. (eds.) WAPCV 2008. LNCS, vol. 5395, pp. 212-226. Springer, Heidelberg (2009)
Dhavale, N., Itti, L.: Saliency-based multifoveated MPEG compression. In: Proceedings of Signal Processing and Its Applications, pp. 229-232 (2003)
Tsotsos, J.K., Liu, Y., Martinez-Trujillo, J.C., Pomplun, M., Simine, E., Zhou, K.: Attenting to visual motion. J. of Computer Vision and Image Understandig (2005)
Parkhurst, D.J., Niebur, E.: Texture contrast attracts overt visual attention in natural scenes. European Journal of Neuroscience 19(3), 783-789 (2004)
Itti, L., Baldi, P.: Bayesian Surprise Attracts Human Attention. Advances in Neural Information Processing Systems 18, 547 (2006)
Le Meur, O., Le Callet, P., Barba, D., Thoreau, D.: A Coherent Computational Approach to Model Bottom-Up Visual Attention. PAMI, 802-817 (2006)
Bruce, N.D.B., Tsotsos, J.K.: Saliency, attention, and visual search: an information theoretic approach. Journal of Vision 9(3), 5 (2009)
Boiman, O., Irani, M.: Detecting Irregularities in Images and in Video. International Journal of Computer Vision 74(1), 17-31 (2007)
Ouerhani, N., Huegli, H.: Computing visual attention from scene depth. In: Proc. of Int'l Conf. on Pattern Recognition, vol. 1 (2000)
Microsoft Kinect sensor, http://www.xbox.com/kinect