Dynamic Saliency Models and Human Attention: A Comparative Study on Videos

@inproceedings{Riche2012DynamicSM,
  title={Dynamic Saliency Models and Human Attention: A Comparative Study on Videos},
  author={Nicolas Riche and Matei Mancas and Dubravko Culibrk and Vladimir S. Crnojevic and Bernard Gosselin and Thierry Dutoit},
  booktitle={ACCV},
  year={2012}
}
Significant progress has been made in terms of computational models of bottom-up visual attention (saliency). However, efficient ways of comparing these models for still images remain an open research question. The problem is even more challenging when dealing with videos and dynamic saliency. The paper proposes a framework for dynamicsaliency model evaluation, based on a new database of diverse videos for which eye-tracking data has been collected. In addition, we present evaluation results… CONTINUE READING
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