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elbg.h
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1 /*
2  * Copyright (C) 2007 Vitor Sessak <vitor1001@gmail.com>
3  *
4  * This file is part of FFmpeg.
5  *
6  * FFmpeg is free software; you can redistribute it and/or
7  * modify it under the terms of the GNU Lesser General Public
8  * License as published by the Free Software Foundation; either
9  * version 2.1 of the License, or (at your option) any later version.
10  *
11  * FFmpeg is distributed in the hope that it will be useful,
12  * but WITHOUT ANY WARRANTY; without even the implied warranty of
13  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
14  * Lesser General Public License for more details.
15  *
16  * You should have received a copy of the GNU Lesser General Public
17  * License along with FFmpeg; if not, write to the Free Software
18  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
19  */
20 
21 #ifndef AVCODEC_ELBG_H
22 #define AVCODEC_ELBG_H
23 
24 #include "libavutil/lfg.h"
25 
26 /**
27  * Implementation of the Enhanced LBG Algorithm
28  * Based on the paper "Neural Networks 14:1219-1237" that can be found in
29  * http://citeseer.ist.psu.edu/patan01enhanced.html .
30  *
31  * @param points Input points.
32  * @param dim Dimension of the points.
33  * @param numpoints Num of points in **points.
34  * @param codebook Pointer to the output codebook. Must be allocated.
35  * @param numCB Number of points in the codebook.
36  * @param num_steps The maximum number of steps. One step is already a good compromise between time and quality.
37  * @param closest_cb Return the closest codebook to each point. Must be allocated.
38  * @param rand_state A random number generator state. Should be already initialized by av_lfg_init().
39  * @return < 0 in case of error, 0 otherwise
40  */
41 int avpriv_do_elbg(int *points, int dim, int numpoints, int *codebook,
42  int numCB, int num_steps, int *closest_cb,
43  AVLFG *rand_state);
44 
45 /**
46  * Initialize the **codebook vector for the elbg algorithm. If you have already
47  * a codebook and you want to refine it, you shouldn't call this function.
48  * If numpoints < 8*numCB this function fills **codebook with random numbers.
49  * If not, it calls avpriv_do_elbg for a (smaller) random sample of the points in
50  * **points. Get the same parameters as avpriv_do_elbg.
51  * @return < 0 in case of error, 0 otherwise
52  */
53 int avpriv_init_elbg(int *points, int dim, int numpoints, int *codebook,
54  int numCB, int num_steps, int *closest_cb,
55  AVLFG *rand_state);
56 
57 #endif /* AVCODEC_ELBG_H */
Definition: lfg.h:27
int avpriv_do_elbg(int *points, int dim, int numpoints, int *codebook, int numCB, int num_steps, int *closest_cb, AVLFG *rand_state)
Implementation of the Enhanced LBG Algorithm Based on the paper "Neural Networks 14:1219-1237" that c...
Definition: elbg.c:371
int avpriv_init_elbg(int *points, int dim, int numpoints, int *codebook, int numCB, int num_steps, int *closest_cb, AVLFG *rand_state)
Initialize the **codebook vector for the elbg algorithm.
Definition: elbg.c:337
int dim