Eye tracking assisted extraction of attentionally important objects from videos

@article{Karthikeyan2015EyeTA,
  title={Eye tracking assisted extraction of attentionally important objects from videos},
  author={S. Karthikeyan and Thuyen Ngo and Miguel P. Eckstein and B. S. Manjunath},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={3241-3250}
}
Visual attention is a crucial indicator of the relative importance of objects in visual scenes to human viewers. In this paper, we propose an algorithm to extract objects which attract visual attention from videos. As human attention is naturally biased towards high level semantic objects in visual scenes, this information can be valuable to extract salient objects. The proposed algorithm extracts dominant visual tracks using eye tracking data from multiple subjects on a video sequence by a… CONTINUE READING
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