Robust metric for the evaluation of visual saliency algorithms.

@article{Alsam2014RobustMF,
  title={Robust metric for the evaluation of visual saliency algorithms.},
  author={Ali Alsam and Puneet Sharma},
  journal={Journal of the Optical Society of America. A, Optics, image science, and vision},
  year={2014},
  volume={31 3},
  pages={532-40}
}
In this paper, we analyzed eye fixation data obtained from 15 observers and 1003 images. When studying the eigen-decomposition of the correlation matrix constructed based on the fixation data of one observer viewing all images, it was observed that 23% of the data can be accounted for by one eigenvector. This finding implies a repeated viewing pattern that is independent of image content. Examination of this pattern revealed that it was highly correlated with the center region of the image. The… CONTINUE READING