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A biologically inspired computational approach to model top-down and bottom-up visual attention

  • Published:2015-03 Issue:5 Volume:126 Page:522-529
  • ISSN:0030-4026
  • Container-title:Optik
  • language:en
  • Short-container-title:Optik

Author:

Wei Longsheng,Luo Dapeng

Funder

Fundamental Research Funds for the Central Universities

China University of Geosciences

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

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1. An improved saliency model of visual attention dependent on image content;Frontiers in Human Neuroscience;2023-02-28

2. Reduced Reference Quality Assessment for Image Retargeting by Earth Mover’s Distance;Applied Sciences;2021-10-19

3. State of the Art;Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities;2018-12-15

4. Modelling saliency attention to predict eye direction by topological structure and earth mover’s distance;PLOS ONE;2017-07-26

5. A novel biologically inspired computational framework for visual tracking task;Biologically Inspired Cognitive Architectures;2016-10
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