Bottom-up saliency model generation using superpixels

@inproceedings{Polatsek2015BottomupSM,
  title={Bottom-up saliency model generation using superpixels},
  author={Patrik Polatsek and Wanda Benesova},
  booktitle={SCCG},
  year={2015}
}
Prediction of human visual attention is more and more frequently applicable in computer graphics, image processing, human-computer interaction and computer vision. Human attention is influenced by various bottom-up stimuli such as colour, intensity and orientation as well as top-down stimuli related to our memory. Saliency models implement bottom-up factors of visual attention and represent the conspicuousness of a given environment using a saliency map. In general, visual attention processing… CONTINUE READING

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