ECCV 2008 Tutorial

Date: Sunday October 12th - Morning    Venue: Palais des Congres Parc Chanot, in Marseille.

Visual attention: biology, computational models, and applications

Instructors: John K. Tsotsos, Neil Bruce, Albert L. Rothenstein



Recent years have seen a renewed interest in the study of visual attention. This tutorial aims to present the state of the art in the computational modeling of visual attention. Starting from the biology of the primate visual system, we will show how various aspects of visual attention have been addressed in the computational modeling literature, and conclude with a more detailed discussion of a number of recent applications.

The half day tutorial covers a broad range of topics from the basics of primate visual function to applications of visual attention in computer vision. Most of the major paradigms and issues in selective attention research are discussed in a systematic way. The tutorial deals with the following topics:

The speakers


  1. Rothenstein, A.L. and Tsotsos, J.K., Attention Links Sensing to Recognition, Image and Vision Computing, 26(1), 2008, pp. 114-126
  2. Bruce, N., Tsotsos, J.K., Saliency Based on Information Maximization. Advances in Neural Information Processing Systems (NIPS 2005), 18, pp. 155-162, June 2006.
  3. Tsotsos, J.K., Rodriguez-Sanchez, A., Rothenstein, A., Simine, E., Different Binding Strategies for the Different Stages of Visual Recognition, Brain Research , Available online 23 May 2008
  4. Tsotsos, J.K., What Roles can Attention Play in Recognition?, 7th International Conference on Development and Learning, Monterey, California, August 9-12, 2008.
  5. Tsotsos, J.K., Liu, Y., Martinez-Trujillo, J., Pomplun, M., Simine, E., Zhou, K., Attending to Motion, Computer Vision and Image Understanding, Vol 100, 1-2, p 3 - 40, Oct. 2005.
  6. Tsotsos, J.K., Itti, L., Rees, G., A Brief and Selective history of Attention, Neurobiology of Attention, ed. by Itti, Rees and Tsotsos, Elsevier/Academic Press, 2005.
  7. Tsotsos, J.K., Complexity and Visual Attention, Neurobiology of Attention, ed. by Itti, Rees and Tsotsos, Elsevier/Academic Press, 2005.
  8. Tsotsos, J.K., The Selective Tuning Model of Attention, Neurobiology of Attention, ed. by Itti, Rees and Tsotsos, Elsevier/Academic Press, 2005.
  9. Tsotsos, J.K., Culhane, S., Cutzu, F., "From Theoretical Foundations to a Hierarchical Circuit for Selective Attention", Visual Attention and Cortical Cicrcuits, p. 285 -- 306, ed. by J. Braun, C. Koch, and J. Davis, MIT Press, 2001.
  10. Tsotsos, J.K., Culhane, S., Wai, W., Lai, Y., Davis, N., Nuflo, F., Modeling visual attention via selective tuning, Artifical Intelligence 78(1-2), p 507 - 547, 1995.
  11. Tsotsos, J.K., On the Relative Complexity of Passive vs Active Visual Search, International Journal of Computer Vision 7-2, p 127 - 141, 1992.
  12. Tsotsos, J.K., Analyzing Vision at the Complexity Level, Behavioral and Brain Sciences 13-3, p423 - 445, 1990.
  13. Tsotsos, J., "The Complexity of Perceptual Search Tasks", Proc. International Joint Conference on Artificial Intelligence, Detroit, August, 1989, pp1571 - 1577.
  14. Tsotsos, J.K., "A `Complexity Level' Analysis of Vision", Proceedings of International Conference on Computer Vision: Human and Machine Vision Workshop, London, England,June 1987.


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