title: Saliency of color image derivatives: a comparison between computational models and human perception.
abstract: 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%.
authors.affiliation: Computer Vision Center, Universitat Autónoma de Barcelona, 08193 Cerdanyola del Valles, Barcelona, Spain. eduard.vazquez@cvc.uab.cat
authors.forename: Eduard
authors.initials: E
authors.lastname: Vazquez
authors.forename: Theo
authors.initials: T
authors.lastname: Gevers
authors.forename: Marcel
authors.initials: M
authors.lastname: Lucassen
authors.forename: Joost
authors.initials: J
authors.lastname: van de Weijer
authors.forename: Ramon
authors.initials: R
authors.lastname: Baldrich
mesh_terms: D000465:Algorithms; D055253:Color Vision / Q000502:physiology*; D003124:Colorimetry / Q000379:methods*; D003198:Computer Simulation; D005556:Form Perception / Q000502:physiology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity