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Copy pathMIT_Chromatic_Videos_Preprocessing_FinalVersion.m
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MIT_Chromatic_Videos_Preprocessing_FinalVersion.m
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%%
%% MIT chromatic videos processing
%%
%% Decomposition chromatic video into luminance, RG, YB channels.
%%
clear all; clc; close all;
%addpath(genpath('/media/disk/vista/Papers/A_Connectivity/n_dimensional_example/'));
%addpath(genpath('/media/disk/vista/Papers/A_Connectivity/'));
%addpath(genpath('/media/disk/vista/Papers/IMAGING/fMRI_explora/Vistalab'))
%addpath(genpath('/media/disk/vista/Papers/A_GermanyValencia/new_code_clean/BioMultiLayer_L_NL_color/colorlab/'))
%%()
%% VideoReader plugin libmwgstreamerplugin failed to load properly.
%% So I did next section in my local computer then saved L, RG, YB
%% videos and transfer it to serve for 3D Fourier analyses.
%%
%% Necessaries libraries to successfully launch VideoReader
%% help docs: https://gstreamer.freedesktop.org/documentation/installing/on-linux.html?gi-language=c
%% Install GStreamer on Ubuntu or Debian
%%
%%
%% sudo add-apt-repository ppa:mc3man/gstffmpeg-keep
%% sudo apt-get update
%% sudo apt-get install gstreamer0.10-ffmpeg
%% sudo apt install ubuntu-restricted-extras
VideoSet='/home/qiangli/Matlab/MIT_Video/Stimuli/';
cd /home/qiangli/Matlab/MIT_Video/Stimuli/;
digitDatasetPath = fullfile(VideoSet);
Vs=dir([digitDatasetPath, '*.mp4']);
files={Vs.name};
%startcol
Mrgb2lms1 = [0.2973 0.6606 0.0773; 0.1061 0.6853 0.0757; 0.0118 0.0489 0.5638];
Mrgb2xyz = [0.4162 0.3148 0.2328;0.2311 0.6899 0.0790;0.0190 0.0786 0.9057];
Mxyz2lms = [0.2434 0.8524 -0.0516;-0.3954 1.1642 0.0837; 0 0 0.6225];
Mxyz2atd_jameson = [0 1 0;1 -1 0;0 0.4 -0.4];
Mrgb2james = Mxyz2atd_jameson*Mrgb2xyz;
Mrgb2lms = Mxyz2lms*Mrgb2xyz;
for k=1:numel(files)
k
V= VideoReader(files{k});
%video = read_video(files{k},0, 30);
L = VideoWriter([VideoSet,V.Name(1:end-4),'_L']);
RG = VideoWriter([VideoSet,V.Name(1:end-4),'_RG']);
YB = VideoWriter([VideoSet,V.Name(1:end-4),'_YB']);
open(L);
open(RG);
open(YB);
while(hasFrame(V))
frame = double(readFrame(V));
ATDframe = transf_color_image(frame/255,Mrgb2james);
AA=ATDframe(:,:,1);
TT=ATDframe(:,:,2);
DD=ATDframe(:,:,3);
writeVideo(L, mat2gray(AA));
writeVideo(RG,mat2gray(TT));
writeVideo(YB,mat2gray(DD));
end
close(L);
close(RG);
close(YB);
end
%% Color selection for postprocessing
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear all; clc; close all;
VideoSet='/home/qiangli/Matlab/MIT_Video/Stimuli/';
VideoSet_c='/home/qiangli/Matlab/MIT_Video/Stimuli_Color/';
cd /home/qiangli/Matlab/MIT_Video/Stimuli/;
digitDatasetPath = fullfile(VideoSet);
Vs=dir([digitDatasetPath, '*.mp4']);
files_L={Vs.name};
load MIT_Chromatic_Video_Saturation_God
%% Not good
% SA1 = [];
% SA2 = [];
% SA3 = [];
% for i=1:numel(files_L)
% i
% colors_in_video = [];
% average_color = [];
% V= VideoReader(files_L{i});
% while(hasFrame(V))
% frame = double(readFrame(V));
% colors = double(reshape(frame,[prod(size(frame(:,:,1))) 3]));
% average_col = mean(colors);
%
% colors_in_video = [colors_in_video;colors(1:5:end,:)];
% average_color = [average_color;average_col];
%
% %HSVframe = rgb2hsv(frame);
% %Satur1 = squeeze( mean(HSVframe, [1, 3]) ); %let average H,S,V channel
%
% %Satur2 = mean(mean(HSVframe(:,:,2))); %let average H,S,V channel
%
% end
% average_color = mean(average_color);
% lab = rgb2lab(colors_in_video/255,'WhitePoint',average_color/255);
%
% %Satur3 = mean( sqrt( lab(:,2).^2+lab(:,3).^2 )./lab(:,1) );
%
% Satur3 = mean( sqrt( lab(:,2).^2+lab(:,3).^2 ) );
%
%
% %SA1 = [SA1 mean(Satur1)];
% %SA2 = [SA2 mean(Satur2)];
% SA3 = [SA3 mean(Satur3)];
%
% end
% save ('MIT_Chromatic_Video_Saturation.mat', 'SA3', '-v7.3');
save_c = 1;
SA4 = [];
mean_cols = [];
[mat,idx4] = sortrows(SA4');
for i=1:numel(files_L)
i
[SA,mean_color] = chrom_or_achrom(VideoSet, files_L{i});
SA4 = [SA4 SA];
mean_cols = [mean_cols;mean_color];
if save_c ==1
if SA>= median(mat)
source = fullfile(VideoSet,files_L{i});
destination = fullfile(VideoSet_c,'More_Saturation/');
copyfile(source,destination)
else
source = fullfile(VideoSet,files_L{i});
destination = fullfile(VideoSet_c,'Less_Saturation/');
copyfile(source,destination)
end
end
end
save ('MIT_Chromatic_Video_Saturation_God.mat', 'SA4','mean_cols', '-v7.3');
%load MIT_Chromatic_Video_Satureation
%load MIT_Chromatic_Video_Saturation
load MIT_Chromatic_Video_Saturation_God
%SA=sort(SA,'ascend');
%x = 1:size(SA,2); y = SA;
%scatter(x, SA, 'linewidth',3); %scatter(x,y);
%a = [1:size(SA,2)]'; b = num2str(a); c = cellstr(b);
%dx = 0.1; dy = 0.1; % displacement so the text does not overlay the data points
%text(x+dx, y+dy, c, 'Fontsize', 5);
%set(gcf, 'color', [1 1 1])
%figure(23),plot(sort(SA,'ascend'), 'linewidth',2), xlabel('Num of videos'), ylabel('Average of Saturation'), box off;
%set(gcf, 'color', [1 1 1])
% [mat,idx1] = sortrows(SA1');
% x = 1:size(SA1,2); y = mat;
% figure(), scatter(x, y, 'linewidth',2);
% b = num2str(idx1); c = cellstr(b);
% dx = 0.1; dy = 0.1; % displacement so the text does not overlay the data points
% text(x+dx, y+dy, c, 'Fontsize', 5);
% xlabel('Num of videos'), ylabel('Average of Saturation'), box off;
% set(gcf, 'color', [1 1 1])
%
% [mat,idx2] = sortrows(SA2');
% x = 1:size(SA2,2); y = mat;
% figure(),scatter(x, y, 'linewidth',2);
% b = num2str(idx2); c = cellstr(b);
% dx = 0.1; dy = 0.1; % displacement so the text does not overlay the data points
% text(x+dx, y+dy, c, 'Fontsize', 5);
% xlabel('Num of videos'), ylabel('Average of Saturation'), box off;
% set(gcf, 'color', [1 1 1])
%
%
% [mat,idx3] = sortrows(SA3');
% x = 1:size(SA3,2); y = mat;
% figure(),scatter(x, y, 'linewidth',2);
% b = num2str(idx3); c = cellstr(b);
% dx = 0.1; dy = 0.1; % displacement so the text does not overlay the data points
% text(x+dx, y+dy, c, 'Fontsize', 5);
% xlabel('Num of videos'), ylabel('Average of Saturation'), box off;
% set(gcf, 'color', [1 1 1])
[mat,idx4] = sortrows(SA4');
x = 1:size(SA4,2); y = mat;
figure(),scatter(x, y, 'linewidth',2);
b = num2str(idx4); c = cellstr(b);
dx = 0.1; dy = 0.1; % displacement so the text does not overlay the data points
text(x+dx, y+dy, c, 'Fontsize', 5);
hold on,
plot(x,repmat(median(mat), 1102,1),'linewidth',2)
text(1102, median(mat), 'cutoff', 'Fontsize', 15);
xlabel('Num of videos'), ylabel('Saturation'), box off;
set(gcf, 'color', [1 1 1])
%thres_sat1 = max(mat)/2;
thres_sat2 = median(mat);
%% 3D Fourier Transform for preprocessing lumiance videos to select subset motion-related videos for postprocessing
clear all; clc; close all;
VideoSet='/home/qiangli/Matlab/MIT_Video/Stimuli/';
VideoSet_s = '/home/qiangli/Matlab/MIT_Video/Stimuli_Motion/';
VideoSet_t = '/home/qiangli/Matlab/MIT_Video/Stimuli_Texture/';
cd /home/qiangli/Matlab/MIT_Video/Stimuli/;
digitDatasetPath = fullfile(VideoSet);
Vs=dir([digitDatasetPath, '*.mp4']);
files_L={Vs.name};
load MIT_Chromatic_Video_SpeedEn_God
[mat5,~] = sortrows(speed_curve');
thres_speed2 = median(mat5);
[mat6,~] = sortrows(texture_curve');
thres_texture2 = median(mat6);
save_v=1;
save_t=2;
speed_curve=[];
texture_curve=[];
[x,y,t,fx,fy,ft] = spatio_temp_freq_domain(268,268,30,64,64,30);
% Conditions texture
f_cut_off1 = 0.2;
f_cut_off2 = 5;
f_cut_off3 = 30;
low_freq_residual = (fx.^2 + fy.^2) < f_cut_off1^2;
low_freq = ((fx.^2 + fy.^2) >= f_cut_off1^2) & ((fx.^2 + fy.^2) < f_cut_off2^2);
high_freq = ((fx.^2 + fy.^2) >= f_cut_off2^2) & ((fx.^2 + fy.^2) < f_cut_off3^2);
% Conditions motion
fs = sqrt(fx.^2 + fy.^2);
v_cut_off = 0.1;
low_speed = ( abs(ft) < abs(fs*v_cut_off) ) & ( (fx.^2 + fy.^2) > f_cut_off1^2 );
high_speed = ( abs(ft) >= abs(fs*v_cut_off) ) & ( (fx.^2 + fy.^2) > f_cut_off1^2 );
for i=1:numel(files_L)
i
V= read_video_no_plot(files_L{i}, 0, 30);
V = squeeze(V(:,:,2,:));
%now2then vs then2now
Y = now2then(V);
FTY = fft3(Y , 1);
Y_low = FTY.*low_freq;
Y_high = FTY.*high_freq;
hf_spatial_text = sum(abs(Y_high(:)).^2)/sum(abs(Y_low(:)).^2);
Y_low_s = FTY.*low_speed;
Y_high_s = FTY.*high_speed;
hs_movie = sum(abs(Y_high_s(:)).^2)/sum(abs(Y_low_s(:)).^2);
texture_curve = [texture_curve hf_spatial_text];
speed_curve = [speed_curve hs_movie];
%% motion
if save_v==1
if hs_movie >= thres_speed2
source = fullfile(VideoSet,files_L{i});
destination = fullfile(VideoSet_s,'high/');
copyfile(source,destination)
else
source = fullfile(VideoSet,files_L{i});
destination = fullfile(VideoSet_s,'low/');
copyfile(source,destination)
end
end
%% texture
if save_t==2
if hf_spatial_text >= thres_texture2
source = fullfile(VideoSet,files_L{i});
destination = fullfile(VideoSet_t,'high/');
copyfile(source,destination)
else
source = fullfile(VideoSet,files_L{i});
destination = fullfile(VideoSet_t,'low/');
copyfile(source,destination)
end
end
end
save('MIT_Chromatic_Video_SpeedEn_God.mat', 'speed_curve', 'texture_curve', '-v7.3');
load MIT_Chromatic_Video_SpeedEn_God
[mat5,idx5] = sortrows(speed_curve');
thres_speed1 = max(mat5)/2;
thres_speed2 = median(mat5);
x = 1:size(speed_curve,2); y = mat5;
figure(),scatter(x, y, 'linewidth',2);
b = num2str(idx5); c = cellstr(b);
dx = 0.1; dy = 0.1; % displacement so the text does not overlay the data points
text(x+dx, y+dy, c, 'Fontsize', 5);
hold on,
plot(x,repmat(thres_speed2, 1102,1),'linewidth',2)
text(1102, thres_speed2, 'cutoff', 'Fontsize', 15);
xlabel('Num of videos'), ylabel('Speed energy'), box off;
set(gcf, 'color', [1 1 1])
[mat6,idx6] = sortrows(texture_curve');
x = 1:size(texture_curve,2); y = mat6;
thres_texture1 = max(mat6)/2;
thres_texture2 = median(mat6);
figure(),scatter(x, y, 'linewidth',2);
b = num2str(idx6); c = cellstr(b);
dx = 0.1; dy = 0.1; % displacement so the text does not overlay the data points
text(x+dx, y+dy, c, 'Fontsize', 5);
hold on,
plot(x,repmat(thres_texture2, 1102,1),'linewidth',2)
text(1102, thres_texture2, 'cutoff', 'Fontsize', 15);
xlabel('Num of videos'), ylabel('Texture energy'), box off;
set(gcf, 'color', [1 1 1])