.nfs000000003001c68c0000007e

function [] = vlav()

	vlad_vocabulary = load('64_VLAD_vocab.mat');
	vlad_vocabulary = double(vlad_vocabulary.centers);
	vlad_kdtree = vl_kdtreebuild(vlad_vocabulary);
	size(vlad_vocabulary)

	INPUT_PATH = '../PROCESSED_DATA/';
	d = dir(INPUT_PATH);
	isub = [d(:).isdir];
	main_folds = {d(isub).name}';
	main_folds(ismember(main_folds,{'.','..'})) = [];

	for i=1:size(main_folds,1)
		MAIN_FOLDER_PATH = strcat(INPUT_PATH,main_folds{i},'/')
		% now list all of the folders within this folder
		d1 = dir(MAIN_FOLDER_PATH);
		isub = [d1(:).isdir];
		sub_folder_names = {d1(isub).name}';
		sub_folder_names(ismember(sub_folder_names,{'.','..'})) = [];

		for j=1:size(sub_folder_names,1)
			SUB_FOLDER_PATH = strcat(MAIN_FOLDER_PATH,sub_folder_names{j},'/');
			d = dir(strcat(SUB_FOLDER_PATH));
			isub = [d(:).isdir];
			segment_names = {d(isub).name}';
			segment_names(ismember(segment_names,{'.','..'})) = [];

			for k=1:size(segment_names,1)
				RAND_PROJ_PATH = strcat(SUB_FOLDER_PATH,segment_names{k},'/rand_proj_vlad/');
				VLAD_PATH = strcat(SUB_FOLDER_PATH,segment_names{k},'/vlads/')

				d = dir(strcat(VLAD_PATH,'/','*.mat'));
				isub = ~[d(:).isdir];
				vlad_names = {d(isub).name}';
				vlad_names(ismember(vlad_names,{'.','..'})) = [];
				avg_vlad = zeros(8192,1);
				rand_proj_vlads = zeros(128,size(vlad_names,1));

				for l=1:size(vlad_names,1)
					file_vlad_path = strcat(VLAD_PATH,sprintf('%05d',l),'_vlad.mat');
					v = load(file_vlad_path);
					v = v.vlad;
					avg_vlad = avg_vlad+v;

					file_rand_proj_path = strcat(RAND_PROJ_PATH,sprintf('%05d',l),'_vladproj.mat');
					rpv = load(file_rand_proj_path);
					rpv = rpv.projected_vlad;
					rand_proj_vlads(:,l) = rpv;
				end
				vlav = vlav_from_vlads(rand_proj_vlads,vlad_vocabulary,vlad_kdtree);
				avg_vlad = avg_vlad./size(vlad_names,1);
				
				% now save them
				vlav_file_name = strcat('vlav_movie_',num2str(j),'seg_',sprintf('%05d',k),'.mat');
				avg_file_name = strcat('mmv_movie_',num2str(j),'seg_',sprintf('%05d',k),'.mat');
				save_vlav_path = strcat(SUB_FOLDER_PATH,segment_names{k},'/',vlav_file_name);
				save_mmv_path = strcat(SUB_FOLDER_PATH,segment_names{k},'/',avg_file_name);
				save(save_vlav_path,'vlav');				
				save(save_mmv_path,'avg_vlad');
			end

		end
	end

end

function [ vlav ] = vlav_from_vlads(descrs2,vocabulary,kdtree)

dataEncode = double(descrs2);

nn = double(vl_kdtreequery(kdtree, vocabulary, dataEncode));
numClusters = size(vocabulary,2);
numDataToBeEncoded = size(descrs2,2);
assignments = double(zeros(numClusters,numDataToBeEncoded));
assignments(sub2ind(size(assignments), nn, 1:length(nn))) = 1;
vlav = vl_vlad(double(dataEncode),double(vocabulary),double(assignments),'SquareRoot');

end