Objects do not predict fixations better than early saliency: a re-analysis of Einhauser et al.'s data.

@article{Borji2013ObjectsDN,
  title={Objects do not predict fixations better than early saliency: a re-analysis of Einhauser et al.'s data.},
  author={Ali Borji and Dicky N. Sihite and Laurent Itti},
  journal={Journal of vision},
  year={2013},
  volume={13 10},
  pages={18}
}
Einhäuser, Spain, and Perona (2008) explored an alternative hypothesis to saliency maps (i.e., spatial image outliers) and claimed that "objects predict fixations better than early saliency." To test their hypothesis, they measured eye movements of human observers while they inspected 93 photographs of common natural scenes (Uncommon Places dataset by Shore, Tillman, & Schmidt-Wulen 2004; Supplement Figure S4). Subjects were asked to observe an image and, immediately afterwards, to name objects… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 37 extracted citations

Multi-layer linear model for top-down modulation of visual attention in natural egocentric vision

2017 IEEE International Conference on Image Processing (ICIP) • 2017
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 32 references

Learning to predict where humans look

2009 IEEE 12th International Conference on Computer Vision • 2009
View 5 Excerpts
Highly Influenced

Computational Attention: Modelisation and Application to Audio and Image Processing

M. Mancas
PhD. thesis • 2007
View 11 Excerpts
Highly Influenced

Scene content selected by active vision.

Spatial vision • 2003
View 9 Excerpts
Highly Influenced

GAFFE: A Gaze-Attentive Fixation Finding Engine

IEEE Transactions on Image Processing • 2008
View 2 Excerpts
Highly Influenced

Assessing the contribution of color in visual attention

Computer Vision and Image Understanding • 2005
View 2 Excerpts
Highly Influenced

State - ofthe - art in Visual Attention Modeling

L. Itti
IEEE Transactions on Pattern Analysis and Machine Intelligence • 2013

Similar Papers

Loading similar papers…