Contrast Based Filtering for Salient Region Detection

Main Paper:-

1. http://www.philkr.net/papers/2012-06-01-cvpr/2012-06-01-cvpr.pdf

Additional Papers:

1. Saliency detection via graph-based manifold ranking, CVPR 2013

• http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619251

2. Saliency detection via dense and sparse reconstruction, CVPR 2013

• http://ieeexplore.ieee.org/document/6751481/

3. Saliency-Aware Video Object Segmentation,

• http://ieeexplore.ieee.org/document/7837719/

4. Saliency-Aware Geodesic Video Object Segmentation

• http://ieeexplore.ieee.org/document/7298961/

Geodesic K-means Clustering:

• http://ieeexplore.ieee.org/document/4761241/

Dataset:

• http://saliencydetection.net/dut-omron/

Temporary links:

• http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2011/ACriminisi_ACM_TOG2010.pdf
• http://www.kev-smith.com/papers/SMITH_TPAMI12.pdf
• http://www.kev-smith.com/papers/SLIC_Superpixels.pdf
• http://davidstutz.de/wordpress/wp-content/uploads/2014/09/thesis.pdf
• https://in.mathworks.com/help/images/ref/imseggeodesic.html
• https://sites.google.com/site/uqchang/home/cv-code

Usage:

• main.py --- It is implementation of initial Paper

• usage : python main.py img_filename

• SaliencyFilter.py --- It is extension of Above paper where it is performed pixel wise

• usage : python SaliencyFilter.py img_filename

• SaliencyOptimization.py --- It is implementation of Energy Minimization technique

• usage : python SaliencyOptimization.py img_filename