Computational versus Psychophysical Bottom-Up Image Saliency: A Comparative Evaluation Study

  title={Computational versus Psychophysical Bottom-Up Image Saliency: A Comparative Evaluation Study},
  author={Alexander Toet},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
The predictions of 13 computational bottom-up saliency models and a newly introduced Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity measurements. The agreement between human visual conspicuity estimates and model saliency predictions is quantified through their rank order correlation. The maximum of the computational saliency value over the target support area correlates most strongly with visual conspicuity for 12 of the 13 models. A simple multiscale… CONTINUE READING
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