Video saliency detection via sparsity-based reconstruction and propagation, IEEE TIP, 2019
- This code is for the paper:
Runmin Cong, Jianjun Lei, Huazhu Fu, Fatih Porikli, Qingming Huang, and Chunping Hou, Video saliency detection via sparsity-based reconstruction and propagation, IEEE Transactions on Image Processing, 2019. DOI: 10.1109/TIP.2019.2910377.
It can only be used for non-comercial purpose. If you use this code, please cite our paper.
The related works include:
[1] Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, and Qingming Huang, Review of visual saliency detection with comprehensive information, IEEE Transactions on Circuits and Systems for Video Technology, 2019. DOI: 10.1109/TCSVT.2018.2870832.
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This matlab code is tested on Windows 10 64bit with MATLAB 2014a.
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Usage:
(1) put the test video sequences into file 'data\RGB'
(2) run demo_SRP.m intra saliency maps with suffix '_intra.png' are generated and saved in the file 'results\SRP*\intraSal'; intra saliency maps with suffix '_inter.png' are generated and saved in the file 'results\SRP*\interSal'; and the final video saliency maps with suffix '_SRP.png' are generated and saved in the file 'results\SRP**\videoSal'
** represents file name, in our example, ** = parachute
For any questions, please contact rmcong@126.com runmincong@gmail.com.