Social saliency prediction

  title={Social saliency prediction},
  author={Hyun Soo Park and Jianbo Shi},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
This paper presents a method to predict social saliency, the likelihood of joint attention, given an input image or video by leveraging the social interaction data captured by first person cameras. Inspired by electric dipole moments, we introduce a social formation feature that encodes the geometric relationship between joint attention and its social formation. We learn this feature from the first person social interaction data where we can precisely measure the locations of joint attention… CONTINUE READING
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