Source code based on the paper titled 'A multi-resolution saliency framework to drive foveation'
C++ Makefile
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README.md

README.md

MR-AIM

Source code for MR-AIM based on work published in ICASSP 2013. Paper available at http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6638125

If you use this code for evaluation and/or benchmarking, we appreciate if you cite an appropriate subset of the following papers:

@INPROCEEDINGS{icassp2013, author={Advani, S. and Sustersic, J. and Irick, K. and Narayanan, V.}, booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on}, title={A multi-resolution saliency framework to drive foveation}, year={2013}, month={May}, pages={2596-2600}, }

@ARTICLE{AIM, author = {Bruce, N. and Tsotsos, J.}, journal = {Journal of Vision}, title = {{Saliency, Attention, and Visual Search: An Information Theoretic Approach}}, year = {2009}, }


Contents

This code package contains the following files:

  • RunMITBenchmark.cpp is the code that runs MR-AIM (model proposed in ICASSP 2013) on the MIT Benchmark

  • We also provide an open-source C++ version of the original AIM model (proposed in JOV 2009) for comparison purposes. Original MATLAB code is available at http://www-sop.inria.fr/members/Neil.Bruce/AIM.zip


Getting Started

  • Navigate to Debug folder

    cd ./source/Debug

  • Compile code using make (tested on MacOS X Yosemite)

    make

  • Download the dataset from http://saliency.mit.edu/results_mit300.html

  • >./cvMR-AIM BenchmarkIMAGES/ BenchmarkOUTPUT/

Saliency maps are generated in the directory BenchmarkOUTPUT

  • To run baseline AIM model >./cvMR-AIM BenchmarkIMAGES/ BenchmarkOUTPUT/ 0

Dependencies

OpenCV 3.0 (makefile assumes Libraries are in /usr/local/lib and Includes in /usr/local/include)


License

This code is published under the MIT License.