Saliency Based on Decorrelation and Distinctiveness of Local Responses

  • Antón Garcia-Diaz
  • Xosé R. Fdez-Vidal
  • Xosé M. Pardo
  • Raquel Dosil
Conference paper

DOI: 10.1007/978-3-642-03767-2_32

Volume 5702 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Garcia-Diaz A., Fdez-Vidal X.R., Pardo X.M., Dosil R. (2009) Saliency Based on Decorrelation and Distinctiveness of Local Responses. In: Jiang X., Petkov N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg

Abstract

In this paper we validate a new model of bottom-up saliency based in the decorrelation and the distinctiveness of local responses. The model is simple and light, and is based on biologically plausible mechanisms. Decorrelation is achieved by applying principal components analysis over a set of multiscale low level features. Distinctiveness is measured using the Hotelling’s T2 statistic. The presented approach provides a suitable framework for the incorporation of top-down processes like contextual priors, but also learning and recognition. We show its capability of reproducing human fixations on an open access image dataset and we compare it with other recently proposed models of the state of the art.

Keywords

saliency bottom-up attention eye-fixations 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Antón Garcia-Diaz
    • 1
  • Xosé R. Fdez-Vidal
    • 1
  • Xosé M. Pardo
    • 1
  • Raquel Dosil
    • 1
  1. 1.Departamento de Electrónica e ComputaciónUniversidade de Santiago de Compostela, Grupo de Visión ArtificialSantiago de CompostelaSpain