GitHub - DengPingFan/PR2018: source code of paper "Low-Rank Analysis Guided Adaptive Learning for Video Saliency Detection"

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source code of paper "Low-Rank Analysis Guided Adaptive Learning for Video Saliency Detection"

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
OpticalFlow		OpticalFlow
PROPACK		PROPACK
SP		SP
boundary		boundary
cuda		cuda
result		result
sequences/girl		sequences/girl
.DS_Store		.DS_Store
.gitattributes		.gitattributes
Demo.m		Demo.m
FindPair.m		FindPair.m
HistogramCompute.m		HistogramCompute.m
LK.m		LK.m
MatrixNormalization.m		MatrixNormalization.m
RF.m		RF.m
Readme.txt		Readme.txt
TenDH.m		TenDH.m
choosvd.m		choosvd.m
cluster_w.m		cluster_w.m
compent.m		compent.m
computeMotionGradientMap.m		computeMotionGradientMap.m
exact_alm_rpca.m		exact_alm_rpca.m
getColorDistance.m		getColorDistance.m
getHistogram.m		getHistogram.m
getHistogramFeatures.m		getHistogramFeatures.m
getMeanFeatures.m		getMeanFeatures.m
getMotionFeature.m		getMotionFeature.m
getSPInfo.m		getSPInfo.m
getSuperPixelPairs.m		getSuperPixelPairs.m
get_neighbor.m		get_neighbor.m
im2c.m		im2c.m
inexact_alm_rpca.m		inexact_alm_rpca.m
munkres.m		munkres.m
pos.m		pos.m
w2crs.mat		w2crs.mat
write2file.m		write2file.m

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The source code of our manuscript submitted to Pattern Recognition: 
'Low-Rank Analysis Guided Adaptive Learning for Video Saliency Detection'

Requirement:
1.Visual Studio 2010 x86 enviroument
2.CUDA v6.5+
3.Matlab 2012a
4.Video sequences should be added to the '.\sequences\' directory accordingly.

The default installation path of CUDA is: "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\lib\x64\",
and the default installation path of VisualStudio is: "E:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\bin".
The readers should change the CUDA path and VisualStudio path in '.\cuda\compile.m' file accordingly.

Also, the matlab path of '.\cuda\*.cu' files should also be changed accordingly
(e.g., the default matlab path is "E:\Program Files\MATLAB\R2012b\extern\include\mex.h").

How to run:
>> Demo