Saliency of Color Image Derivatives: A Comparison Between Computational Models and Human Perception E. Vazquez, T. Gevers, M. Lucassen, J. van de Weijer, R. Baldrich In Journal of the Optical Society of America A 2010. [bibtex] [pdf] [url]

In this paper, computational methods are proposed to compute color edge saliency based on the information content of color edges. The computational methods are evaluated on bottom-up saliency in a psychophysical experiment, and on a more complex task of salient object detection in real-world images. The psychophysical experiment demonstrates the relevance of using information theory as a saliency processing model and that the proposed methods are significantly better in predicting color saliency (with a human-method correspondence up to 74.75% and an observer agreement of 86.8%) than state-of-the-art models. Furthermore, results from salient object detection confirm that an early fusion of color and contrast provide accurate performance to compute visual saliency with a hit rate up to 95.2%.



Optics InfoBase

@Article{VazquezJOSA2010,
  author       = "Vazquez, E. and Gevers, T. and Lucassen, M. and van de Weijer, J.
                  and Baldrich, R.",
  title        = "Saliency of Color Image Derivatives: A Comparison Between Computational Models and Human Perception",
  journal      = "Journal of the Optical Society of America A",
  number       = "3",
  volume       = "27",
  pages        = "613--621",
  year         = "2010",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2010/VazquezJOSA2010",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2010/VazquezJOSA2010/VazquezJOSA2010.pdf",
  has_image    = 1
}