Please check our neweast implementation in https://github.com/shenjianbing/videoseg15.

Implementation code for cvpr 2015: [1] W. Wang, J. Shen, F. Porikli, Saliency-aware geodesic video object segmentation, IEEE CVPR, pp. 3395-3402, 2015 [2] W. Wang, J. Shen, R. Yang, and F. Porikli, Saliency-aware Video Object Segmentation, IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(1):20-33, 2018, 2018

Any comments, please email: [email protected] [email protected]

This software was developed under 32-bit/64-bit Windows with Matlab R2009b/R2011b/R2012b/R2013a.

If you use this software for academic research, please cite the following paper:

[1] W. Wang, J. Shen, F. Porikli, Saliency-aware geodesic video object segmentation, IEEE CVPR, pp. 3395-3402, 2015

[2] W. Wang, J. Shen, R. Yang, and F. Porikli, Saliency-aware Video Object Segmentation, IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(1):20-33, 2018, 2018 

The saliency demo code (computeSaliency.m) produces slightly different results to those reported in the paper [1]. This is due to changes in the parameters and the final saliency results are stored in data/outputs/(videoname)/final_saliency. Saliency results stored in the folder 'intra-frame_saliency' and 'inter-frame saliency' are generated by our intra-frame graph and inter-frame graph respectively.