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Code for Fast and efficient saliency detection using sparse sampling and kernel density estimation

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Matlab implementation of saliency algorithm proposed in: Fast and efficient saliency detection using sparse sampling and kernel density estimation. Rezazadegan Tavakoli H, Rahtu E & Heikkilä J, Proc. Scandinavian Conference on Image Analysis (SCIA 2011), 2011, Ystad, Sweden.

The code has been tested on Matlab 2010a (32-bit) running windows. This code is publicly available for demonstration and educational purposes, any commercial use without permission is strictly prohibited.

This package contains the following files and directories:

  1. calculateImageSaliency.p : computes image saliency for a single scale
  2. calculateFinalSaliency.m : computes image saliency for multiple scales
  3. runSaliency.m : a sample file to show how to compute saliency
  4. prior.mat : a prior obtained via learning

To test:

  1. Extract the package
  2. run 'runSaliency.m'

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Code for Fast and efficient saliency detection using sparse sampling and kernel density estimation

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