• DOI:10.1109/TIP.2012.2210727
Corpus ID: 8220316

Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study

@article{Borji2013QuantitativeAO,
  title={Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study},
  author={A. Borji and Dicky N. Sihite and L. Itti},
  journal={IEEE Transactions on Image Processing},
  year={2013},
  volume={22},
  pages={55-69}
}

• A. Borji, Dicky N. Sihite, L. Itti
• Published 2013
• Computer Science, Medicine
• IEEE Transactions on Image Processing

Visual attention is a process that enables biological and machine vision systems to select the most relevant regions from a scene. Relevance is determined by two components: 1) top-down factors driven by task and 2) bottom-up factors that highlight image regions that are different from their surroundings. The latter are often referred to as “visual saliency.” Modeling bottom-up visual saliency has been the subject of numerous research efforts during the past 20 years, with many successful… Expand

View on IEEE

ilab.usc.edu

Save to Library

Create Alert

Cite

Launch Research Feed