Answers.Body: <p>Saliency is typically discussed more in object detection or scene understanding than prominence.  There are lots of papers on saliency models.  <a href="https://arxiv.org/abs/1604.03605" rel="nofollow noreferrer">"What do different evaluation metrics tell us about saliency models?"</a> is a good paper on various metrics on saliency models.  It covers the following metrics: </p>
  
  <ol>
  <li>Similarity or histogram intersection (SIM)</li>
  <li>Pearson's Correlation Coefficient (CC)</li>
  <li>Normalized Scanpath Saliency (NSS)</li>
  <li>Area Under ROC Curve (AUC)</li>
  <li>Information Gain (IG)</li>
  <li>Kullback-Leibler divergence (KL)</li>
  <li>Earth Mover's Distance (EMD)</li>
  </ol>
  
  <p>Some other papers you may find interesting:</p>
  
  <ol>
  <li><a href="http://www.cs.umanitoba.ca/~bruce/AIM2009.pdf" rel="nofollow noreferrer">Saliency, attention, and visual search: An information
  theoretic approach</a></li>
  <li><a href="https://arxiv.org/abs/1704.07402" rel="nofollow noreferrer">Towards Instance Segmentation with Object Priority:
  Prominent Object Detection and Recognition</a></li>
  </ol>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2018-01-27T22:29:07.270Z
Answers.LastActivityDate: 2018-01-27T22:29:07.270Z
Answers.UserDisplayName: Brian O'Donnell
Body: <p>Is there any previous work on computing some sort of prominence score based on the prevalence of features in an image?</p>
  
  <p>For example, let's say I am classifying images based on whether or not they have dogs in them. Is there a way to compute how prominent that feature is?</p>
  
Tags: <machine-learning><computer-vision><reference-request><statistical-ai>
Title: Is there a way of computing a prominence score based on the prevalence of features in an image?
UserDisplayName: hisairnessag3
ThreadText: # Is there a way of computing a prominence score based on the prevalence of features in an image?
  
  (Asked by: username_0 on 2018-01-27)
  
  Is there any previous work on computing some sort of prominence score based on the prevalence of features in an image?
  
  For example, let's say I am classifying images based on whether or not they have dogs in them. Is there a way to compute how prominent that feature is?
  
  **Tags:** machine-learning, computer-vision, reference-request, statistical-ai
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2018-01-27. Score: 1 | Accepted answer
  
  Saliency is typically discussed more in object detection or scene understanding than prominence. There are lots of papers on saliency models. ["What do different evaluation metrics tell us about saliency models?"](https://arxiv.org/abs/1604.03605) is a good paper on various metrics on saliency models. It covers the following metrics:
  
  1. Similarity or histogram intersection (SIM)
  2. Pearson's Correlation Coefficient (CC)
  3. Normalized Scanpath Saliency (NSS)
  4. Area Under ROC Curve (AUC)
  5. Information Gain (IG)
  6. Kullback-Leibler divergence (KL)
  7. Earth Mover's Distance (EMD)
  
  Some other papers you may find interesting:
  
  1. [Saliency, attention, and visual search: An information
     theoretic approach](http://www.cs.umanitoba.ca/~bruce/AIM2009.pdf)
  2. [Towards Instance Segmentation with Object Priority:
     Prominent Object Detection and Recognition](https://arxiv.org/abs/1704.07402)
  
  
  ---
  
  