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

  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},
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
Highly Cited
This paper has 53 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 26 extracted citations

An integrated approach to visual attention modelling using spatial-temporal saliency and objectness

2017 IEEE International Conference on Image Processing (ICIP) • 2017
View 8 Excerpts
Highly Influenced

A biologically-inspired model for dynamic saliency detection

2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI) • 2014
View 14 Excerpts
Highly Influenced

Superpixel-Based Spatiotemporal Saliency Detection

IEEE Transactions on Circuits and Systems for Video Technology • 2014
View 8 Excerpts
Highly Influenced

Fixation Prediction in Videos Using Unsupervised Hierarchical Features

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 2017
View 7 Excerpts
Highly Influenced

Learning Spatiotemporal Gaps between Where We Look and What We Focus on

IPSJ Trans. Computer Vision and Applications • 2013
View 5 Excerpts
Highly Influenced

54 Citations

Citations per Year
Semantic Scholar estimates that this publication has 54 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 30 references

Abnormal motion selection in crowds using bottom-up saliency

2011 18th IEEE International Conference on Image Processing • 2011
View 2 Excerpts

Salient Motion Features for Video Quality Assessment

IEEE Transactions on Image Processing • 2011
View 3 Excerpts

Spatiotemporal Saliency in Dynamic Scenes

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2010
View 1 Excerpt

Similar Papers

Loading similar papers…