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Filter.cpp
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Filter.cpp
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/***************************************************************************
* This file is part of last.fm fingerprint app *
* Last.fm Ltd <mir@last.fm> *
* *
* The last.fm fingerprint app is free software: you can redistribute it *
* and/or modify it under the terms of the GNU General Public License as *
* published by the Free Software Foundation, either version 3 of the *
* License, or (at your option) any later version. *
* *
* The last.fm fingerprint app and library are distributed in the hope that *
* it will be useful, but WITHOUT ANY WARRANTY; without even the implied *
* warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See *
* the GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with The last.fm fingerprint. *
* If not, see <http://www.gnu.org/licenses/>. *
* *
* Part of this code is based on the work of Y. Ke, D. Hoiem, and *
* R. Sukthankar - "Computer Vision for Music Identification", *
* in Proceedings of Computer Vision and Pattern Recognition, 2005. *
* See also http://www.cs.cmu.edu/~yke/musicretrieval/ *
***************************************************************************/
#include <iostream>
#include <algorithm> // for max
#include <vector>
#include <fplib/Filter.h>
#include <fplib/fp_helper_fun.h>
using namespace std;
namespace fingerprint
{
Filter::Filter(unsigned int id, float threshold, float weight)
: id(id), threshold(threshold), weight(weight)
{
float time_rate = 1.5;
unsigned int t = 1;
vector<unsigned int> time_lengths;
while (t < KEYWIDTH)
{
time_lengths.push_back(t);
t = max( static_cast<unsigned int>( round__(time_rate*t) ) +
static_cast<unsigned int>( round__(time_rate*t) % 2),
t+1 );
}
unsigned int filter_count = 0;
for (wt = 1; wt <= time_lengths.size(); wt++)
{
for (wb = 1; wb <= NBANDS; wb++)
{
for (first_band = 1; first_band <= NBANDS - wb + 1;
first_band++)
{
unsigned int time = time_lengths[wt-1];
filter_count++;
if (filter_count == id)
{
wt = time_lengths[wt-1];
filter_type = 1;
return;
}
if (time > 1)
{
filter_count++;
if (filter_count == id)
{
wt = time_lengths[wt-1];
filter_type = 2;
return;
}
}
if (wb > 1)
{
filter_count++;
if (filter_count == id)
{
wt = time_lengths[wt-1];
filter_type = 3;
return;
}
}
if (time > 1 && wb > 1)
{
filter_count++;
if (filter_count == id)
{
wt = time_lengths[wt-1];
filter_type = 4;
return;
}
}
if (time > 3)
{
filter_count++;
if (filter_count == id)
{
wt = time_lengths[wt-1];
filter_type = 5;
return;
}
}
if (wb > 3)
{
filter_count++;
if (filter_count == id)
{
wt = time_lengths[wt-1];
filter_type = 6;
return;
}
}
} // for first_band
} // for wb
} // for wt
}
} // end of namespace fingerprint
// -----------------------------------------------------------------------------