Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Sensitivity from Short-Term Memory vs. Stability from Long-Term Memory in Visual Attention Method

  • Conference paper

Abstract

In this paper a special focus on the relationship between sensitivity and stability in a dynamic selective visual attention method is described. In this proposal sensitivity is associated to short-term memory and stability to long-term memory, respectively. In first place, all necessary mechanisms to provide sensitivity to the system are included in order to succeed in keeping the attention in our short-term memory. Frame to frame attention is captured on elements constructed from image pixels that fulfill the requirements established by the user and gotten after feature integration. Then, stability is provided by including mechanisms to reinforce attention, in such a way that elements that accept the user’s predefined requirements are strengthened up to be configured as the system attention centre stored in our long-term memory.

This is a preview of subscription content,log in via an institution to check access.

Access this chapter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Fernández-Caballero, A., López, M.T., Fernández, M.A., Mira, J., Delgado, A.E., López-Valles, J.M.: Accumulative computation method for motion features extraction in active selective visual attention. In: Paletta, L., Tsotsos, J.K., Rome, E., Humphreys, G.W. (eds.) WAPCV 2004. LNCS, vol. 3368, pp. 206–215. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. López, M.T., Fernández, M.A., Fernández-Caballero, A., Delgado, A.E.: Neurally inspired mechanisms for the active visual attention map generation task. In: Mira, J., Álvarez, J.R. (eds.) IWANN 2003. LNCS, vol. 2686, pp. 694–701. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  3. Oppenheim, A.V., Willsky, A.S., Nawab, S.H.: Signals and Systems, 2nd edn. Prentice-Hall Inc., Englewood Cliffs (1997)

    Google Scholar 

  4. Daniilidis, K., Spetsakis, M.: Understanding noise sensitivity in structure from motion. In: Aloimonos, Y. (ed.) Visual Navigation, pp. 61–88 (1996)

    Google Scholar 

  5. Fermüller, C., Aloimonos, Y.: Algorithm-independent stability analysis of structure from motion. University of Maryland TR 3691 (1996)

    Google Scholar 

  6. Fernández-Caballero, A., Mira, J., Delgado, A.E., Fernández, M.A.: Lateral interaction in accumulative computation: A model for motion detection. Neurocomputing 50, 341–364 (2003)

    Article MATH  Google Scholar 

  7. Fernández-Caballero, A., Fernández, M.A., Mira, J., Delgado, A.E.: Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation. Pattern Recognition 36(5), 1131–1142 (2003)

    Article MATH  Google Scholar 

  8. Fernández-Caballero, A., Mira, J., Fernández, M.A., Delgado, A.E.: On motion detection through a multi-layer neural network architecture. Neural Networks 16(2), 205–222 (2003)

    Article  Google Scholar 

  9. Baddeley, A.D., Hitch, G.J.: Short-Term Memory. In: Bower, G. (ed.) Recent Advances in Learning and Motivation, vol. 8 (1974)

    Google Scholar 

  10. O’Reilly, R.C., Braver, T.S., Cohen, J.D.: A biologically-based computational model of working memory. Miyake, A., Shah P. (eds.), Models of Working Memory: Mechanisms of Active Maintenance and Executive Control, 375–411 (1999)

    Google Scholar 

  11. Awh, E., Anllo-Vento, L., Hillyard, S.A.: The role of spatial selective attention in working memory for locations: evidence from event-related potentials. Journal of Cognitive Neuroscience 12, 840–847 (2000)

    Article  Google Scholar 

  12. Awh, E., Jonides, J.: Overlapping mechanisms of attention and spatial working memory. Trends in Cognitive Sciences 5(3), 119–126 (2001)

    Article  Google Scholar 

  13. Atkinson, R.C., Shiffrin, R.M.: Human memory: A proposed system and its control processes. In: Spence, K.W., Spence, J.T. (eds.) The Psychology of Learning and Motivation: Advances in Research and Theory, vol. 2 (1968)

    Google Scholar 

  14. Waugh, N., Norman, D.A.: Primary memory. Psychological Review 72, 89–104 (1965)

    Article  Google Scholar 

  15. Anderson, J.R.: The Architecture of Cognition. Harvard University Press (1983)

    Google Scholar 

  16. Winn, W., Snyder, D.: Cognitive perspectives in psychology. In: Jonassen, D.H. (ed.) Handbook of Research for Educational Communications and Technology, pp. 115–122 (1996)

    Google Scholar 

  17. Mira, J., Fernández, M.A., López, M.T., Delgado, A.E., Fernández-Caballero, A.: A model of neural inspiration for local accumulative computation. In: Moreno-Díaz Jr., R., Pichler, F. (eds.) EUROCAST 2003. LNCS, vol. 2809, pp. 427–435. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Escuela Politécnica Superior, Universidad de Castilla-La Mancha, 02071, Albacete, Spain

    María T. López, Antonio Fernández-Caballero & Miguel A. Fernández

  2. E.T.S.I. Informática, Universidad Nacional de Educación a Distancia, 28040, Madrid, Spain

    Ana E. Delgado

Authors
  1. María T. López

    You can also search for this author inPubMed Google Scholar

  2. Antonio Fernández-Caballero

    You can also search for this author inPubMed Google Scholar

  3. Miguel A. Fernández

    You can also search for this author inPubMed Google Scholar

  4. Ana E. Delgado

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. E.T.S.I. Informática, Universidad Nacional de Educación a Distancia, 28040, Madrid, Spain

    José Mira

  2. E.T.S. de Ingeniería Informática, Departamento de Intelifencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José R. Álvarez

Rights and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

López, M.T., Fernández-Caballero, A., Fernández, M.A., Delgado, A.E. (2005). Sensitivity from Short-Term Memory vs. Stability from Long-Term Memory in Visual Attention Method. In: Mira, J., Álvarez, J.R. (eds) Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. IWINAC 2005. Lecture Notes in Computer Science, vol 3562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499305_46

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp