Import the proof of concept slow motion producer.

[melted] / src / modules / motion_est / filter_motion_est.c

/*
 *      /brief fast motion estimation filter
 *      /author Zachary Drew, Copyright 2005
 *
 *      Currently only uses Gamma data for comparisonon (bug or feature?)
 *      Vector optimization coming soon. 
 *
 *      Vector orientation: The vector data that is generated for the current frame specifies
 *      the motion from the previous frame to the current frame. To know how a macroblock
 *      in the current frame will move in the future, the next frame is needed.
 *
 * This program 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 2 of the License, or
 * (at your option) any later version.
 *
 * This program is 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 this program; if not, write to the Free Software Foundation,
 * Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
 */


#include "filter_motion_est.h"
#include <framework/mlt.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <string.h>
#include <sys/time.h>
#include <unistd.h>

#include "sad_sse.h"

#define NDEBUG
#include <assert.h>

#undef DEBUG
#undef DEBUG_ASM
#undef BENCHMARK
#undef COUNT_COMPARES

#define DIAMOND_SEARCH 0x0
#define FULL_SEARCH 0x1
#define SHIFT 8 
#define MIN(a,b) ((a) > (b) ? (b) : (a))
#define ABS(a) ((a) >= 0 ? (a) : (-(a)))


struct motion_est_context_s
{
        int initialized;                                // true if filter has been initialized

#ifdef COUNT_COMPARES
        int compares;
#endif

        /* same as mlt_frame's parameters */
        int width, height;

        /* Operational details */
        int mb_w, mb_h;
        int xstride, ystride;
        uint8_t *cache_image;                   // Copy of current frame
        uint8_t *former_image;                  // Copy of former frame 
        int search_method;
        int skip_prediction;
        int shot_change;
        int limit_x, limit_y;                   // max x and y of a motion vector
        int initial_thresh;
        int check_chroma;                       // if check_chroma == 1 then compare chroma
        int denoise;
        int previous_msad;
        int show_reconstruction;
        int toggle_when_paused;
        int show_residual;

        /* bounds */
        struct mlt_geometry_item_s bounds;      // Current bounds (from filters crop_detect, autotrack rectangle, or other)

        /* bounds in macroblock units; macroblocks are completely contained within the boundry */
        int left_mb, prev_left_mb, right_mb, prev_right_mb;
        int top_mb, prev_top_mb, bottom_mb, prev_bottom_mb;

        /* size of our vector buffers */
        int mv_buffer_height, mv_buffer_width, mv_size;

        /* vector buffers */
        int former_vectors_valid;               //<! true if the previous frame's buffered motion vector data is valid
        motion_vector *former_vectors;
        motion_vector *current_vectors;
        motion_vector *denoise_vectors;
        mlt_position former_frame_position, current_frame_position;

        /* diagnostic metrics */
        float predictive_misses;                // How often do the prediction motion vectors fail?
        int comparison_average;                 // How far does the best estimation deviate from a perfect comparison?
        int bad_comparisons;
        int average_length;
        int average_x, average_y;

        /* run-time configurable comparison functions */
        int (*compare_reference)(uint8_t *, uint8_t *, int, int, int, int);
        int (*compare_optimized)(uint8_t *, uint8_t *, int, int, int, int);

};

// This is used to constrains pixel operations between two blocks to be within the image boundry
inline static int constrain(    int *x, int *y, int *w, int *h,                 
                                const int dx, const int dy,
                                const int left, const int right,
                                const int top, const int bottom)
{
        uint32_t penalty = 1 << SHIFT;                  // Retain a few extra bits of precision
        int x2 = *x + dx;
        int y2 = *y + dy;
        int w_remains = *w;
        int h_remains = *h;

        // Origin of macroblock moves left of image boundy
        if( *x < left || x2 < left ) {
                w_remains = *w - left + ((*x < x2) ?  *x : x2);
                *x += *w - w_remains;
        }
        // Portion of macroblock moves right of image boundry
        else if( *x + *w > right || x2 + *w > right )
                w_remains = right - ((*x > x2) ? *x : x2);

        // Origin of macroblock moves above image boundy
        if( *y < top || y2 < top ) {
                h_remains = *h - top + ((*y < y2) ? *y : y2);
                *y += *h - h_remains;
        }
        // Portion of macroblock moves bellow image boundry
        else if( *y + *h > bottom || y2 + *h > bottom )
                h_remains = bottom - ((*y > y2) ?  *y : y2);

        if( w_remains == *w && h_remains == *h ) return penalty; 
        if( w_remains <= 0 || h_remains <= 0) return 0; // Block is clipped out of existance
        penalty = (*w * *h * penalty)
                / ( w_remains * h_remains);             // Recipricol of the fraction of the block that remains

        assert(*x >= left); assert(x2 + *w - w_remains >= left);
        assert(*y >= top); assert(y2 + *h - h_remains >= top);
        assert(*x + w_remains <= right); assert(x2 + w_remains <= right);
        assert(*y + h_remains <= bottom); assert(y2 + h_remains <= bottom);

        *w = w_remains;                                 // Update the width and height
        *h = h_remains;

        return penalty;
}

/** /brief Reference Sum of Absolute Differences comparison function
*
*/
inline static int sad_reference( uint8_t *block1, uint8_t *block2, const int xstride, const int ystride, const int w, const int h )
{
        int i, j, score = 0;
        for ( j = 0; j < h; j++ ){
                for ( i = 0; i < w; i++ ){
                        score += ABS( block1[i*xstride] - block2[i*xstride] );
                }
                block1 += ystride;
                block2 += ystride;
        }

        return score;
}


/** /brief Abstracted block comparison function
*/
inline static int block_compare( uint8_t *block1,
                           uint8_t *block2,
                           int x,
                           int y,
                           int dx,
                           int dy,
                           struct motion_est_context_s *c)
{

#ifdef COUNT_COMPARES
        c->compares++;
#endif

        int score;

        // Default comparison may be overridden by the slower, more capable reference comparison 
        int (*cmp)(uint8_t *, uint8_t *, int, int, int, int) = c->compare_optimized;

        // vector displacement limited has been exceeded
        if( ABS( dx ) >= c->limit_x || ABS( dy ) >= c->limit_y )
                return MAX_MSAD;

        int mb_w = c->mb_w;     // Some writeable local copies
        int mb_h = c->mb_h;

        // Determine if either macroblock got clipped
        int penalty = constrain( &x, &y, &mb_w, &mb_h, dx, dy, 0, c->width, 0, c->height);

        // Some gotchas
        if( penalty == 0 )                      // Clipped out of existance: Return worst score
                return MAX_MSAD;
        else if( penalty != 1<<SHIFT )          // Nonstandard macroblock dimensions: Disable SIMD optimizizations. 
                cmp = c->compare_reference;

        // Calculate the memory locations of the macroblocks
        block1 += x      * c->xstride + y       * c->ystride; 
        block2 += (x+dx) * c->xstride + (y+dy)  * c->ystride; 

        #ifdef DEBUG_ASM        
        if( penalty == 1<<SHIFT ){
                score = c->compare_reference( block1, block2, c->xstride, c->ystride, mb_w, mb_h );
                int score2 = c->compare_optimized( block1, block2, c->xstride, c->ystride, mb_w, mb_h );
                if ( score != score2 )
                        fprintf(stderr, "Your assembly doesn't work! Reference: %d Asm: %d\n", score, score2);
        }
        else
        #endif

        score = cmp( block1, block2, c->xstride, c->ystride, mb_w, mb_h );

        return ( score * penalty ) >> SHIFT;                    // Ditch the extra precision
}

static inline void check_candidates (   uint8_t *ref,
                                        uint8_t *candidate_base,
                                        const int x,
                                        const int y,
                                        const motion_vector *candidates,// Contains to_x & to_y
                                        const int count,                // Number of candidates
                                        const int unique,               // Sometimes we know the candidates are unique
                                        motion_vector *result,
                                        struct motion_est_context_s *c )
{
                int score, i, j;
                /* Scan for the best candidate */
                for ( i = 0; i < count; i++ )
                {
                        // this little dohicky ignores duplicate candidates, if they are possible
                        if ( unique == 0 ) {
                                j = 0;
                                while ( j < i )
                                {
                                        if ( candidates[j].dx == candidates[i].dx &&
                                             candidates[j].dy == candidates[i].dy )
                                                        goto next_for_loop;

                                        j++;
                                }
                        }

                        // Luma
                        score = block_compare( ref, candidate_base,
                                                x, y,
                                                candidates[i].dx,       // from
                                                candidates[i].dy,
                                                c);

                        if ( score < result->msad ) {   // New minimum
                                result->dx = candidates[i].dx;
                                result->dy = candidates[i].dy;
                                result->msad = score;
                        }
                        next_for_loop:;
                }
}

/* /brief Diamond search
* Operates on a single macroblock
*/
static inline void diamond_search(
                        uint8_t *ref,                           //<! Image data from previous frame
                        uint8_t *candidate_base,                //<! Image data in current frame
                        const int x,                            //<! X upper left corner of macroblock
                        const int y,                            //<! U upper left corner of macroblock
                        struct motion_vector_s *result,         //<! Best predicted mv and eventual result
                        struct motion_est_context_s *c)         //<! motion estimation context
{

        // diamond search pattern
        motion_vector candidates[4];

        // Keep track of best and former best candidates
        motion_vector best, former;

        // The direction of the refinement needs to be known
        motion_vector current;

        int i, first = 1;

        // Loop through the search pattern
        while( 1 ) {
        
                current.dx = result->dx;
                current.dy = result->dy;

                if ( first == 1 )       // Set the initial pattern
                {
                        candidates[0].dx = result->dx + 1; candidates[0].dy = result->dy + 0;
                        candidates[1].dx = result->dx + 0; candidates[1].dy = result->dy + 1;
                        candidates[2].dx = result->dx - 1; candidates[2].dy = result->dy + 0;
                        candidates[3].dx = result->dx + 0; candidates[3].dy = result->dy - 1;
                        i = 4;
                }
                else     // Construct the next portion of the search pattern
                {
                        candidates[0].dx = result->dx + best.dx;
                        candidates[0].dy = result->dy + best.dy;
                        if (best.dx == former.dx && best.dy == former.dy) {
                                candidates[1].dx = result->dx + best.dy;
                                candidates[1].dy = result->dy + best.dx;                //      Yes, the wires
                                candidates[2].dx = result->dx - best.dy;                //      are crossed
                                candidates[2].dy = result->dy - best.dx;
                                i = 3;
                        } else {
                                candidates[1].dx = result->dx + former.dx;
                                candidates[1].dy = result->dy + former.dy;
                                i = 2;
                        }
        
                        former.dx = best.dx; former.dy = best.dy;       // Keep track of new former best
                }
        
                check_candidates ( ref, candidate_base, x, y, candidates, i, 1, result, c ); 

                // Which candidate was the best?
                best.dx = result->dx - current.dx;
                best.dy = result->dy - current.dy;

                // A better canidate was not found
                if ( best.dx == 0 && best.dy == 0 )
                        return;

                if ( first == 1 ){
                        first = 0;
                        former.dx = best.dx; former.dy = best.dy; // First iteration, sensible value for former.d*
                }
        }
}

/* /brief Full (brute) search 
* Operates on a single macroblock
*/      
__attribute__((used))
static void full_search(
                        uint8_t *ref,                           //<! Image data from previous frame
                        uint8_t *candidate_base,                //<! Image data in current frame
                        int x,                                  //<! X upper left corner of macroblock
                        int y,                                  //<! U upper left corner of macroblock
                        struct motion_vector_s *result,         //<! Best predicted mv and eventual result
                        struct motion_est_context_s *c)         //<! motion estimation context
{
        // Keep track of best candidate
        int i,j,score;

        // Go loopy
        for( i = -c->mb_w; i <= c->mb_w; i++ ){
                for( j = -c->mb_h; j <=  c->mb_h; j++ ){

                        score = block_compare( ref, candidate_base,
                                                x,
                                                y,
                                                x + i,
                                                y + j,
                                                c);

                        if ( score < result->msad ) {
                                result->dx = i;
                                result->dy = j;
                                result->msad = score;
                        }
                }
        }
}

// Macros for pointer calculations
#define CURRENT(i,j)    ( c->current_vectors + (j)*c->mv_buffer_width + (i) )
#define FORMER(i,j)     ( c->former_vectors + (j)*c->mv_buffer_width + (i) )
#define DENOISE(i,j)    ( c->denoise_vectors + (j)*c->mv_buffer_width + (i) )

int ncompare (const void * a, const void * b)
{
        return ( *(int*)a - *(int*)b );
}

// motion vector denoising
// for x and y components seperately,
// change the vector to be the median value of the 9 adjacent vectors
static void median_denoise( motion_vector *v, struct motion_est_context_s *c )
{
        int xvalues[9], yvalues[9];

        int i,j,n;
        for( j = c->top_mb; j <= c->bottom_mb; j++ )
                for( i = c->left_mb; i <= c->right_mb; i++ ){
                {
                        n = 0;

                        xvalues[n  ] = CURRENT(i,j)->dx; // Center
                        yvalues[n++] = CURRENT(i,j)->dy;

                        if( i > c->left_mb ) // Not in First Column
                        {
                                xvalues[n  ] = CURRENT(i-1,j)->dx; // Left
                                yvalues[n++] = CURRENT(i-1,j)->dy;

                                if( j > c->top_mb ) {
                                        xvalues[n  ] = CURRENT(i-1,j-1)->dx; // Upper Left
                                        yvalues[n++] = CURRENT(i-1,j-1)->dy;
                                }

                                if( j < c->bottom_mb ) {
                                        xvalues[n  ] = CURRENT(i-1,j+1)->dx; // Bottom Left
                                        yvalues[n++] = CURRENT(i-1,j+1)->dy;
                                }
                        }
                        if( i < c->right_mb ) // Not in Last Column
                        {
                                xvalues[n  ] = CURRENT(i+1,j)->dx; // Right
                                yvalues[n++] = CURRENT(i+1,j)->dy;
                                
                                
                                if( j > c->top_mb ) {
                                        xvalues[n  ] = CURRENT(i+1,j-1)->dx; // Upper Right
                                        yvalues[n++] = CURRENT(i+1,j-1)->dy;
                                }

                                if( j < c->bottom_mb ) {
                                        xvalues[n  ] = CURRENT(i+1,j+1)->dx; // Bottom Right
                                        yvalues[n++] = CURRENT(i+1,j+1)->dy;
                                }
                        }
                        if( j > c->top_mb ) // Not in First Row
                        {
                                xvalues[n  ] = CURRENT(i,j-1)->dx; // Top
                                yvalues[n++] = CURRENT(i,j-1)->dy;
                        }

                        if( j < c->bottom_mb ) // Not in Last Row
                        {
                                xvalues[n  ] = CURRENT(i,j+1)->dx; // Bottom
                                yvalues[n++] = CURRENT(i,j+1)->dy;
                        }

                        qsort (xvalues, n, sizeof(int), ncompare);
                        qsort (yvalues, n, sizeof(int), ncompare);

                        if( n % 2 == 1 ) {
                                DENOISE(i,j)->dx = xvalues[n/2];
                                DENOISE(i,j)->dy = yvalues[n/2];
                        }
                        else {
                                DENOISE(i,j)->dx = (xvalues[n/2] + xvalues[n/2+1])/2;
                                DENOISE(i,j)->dy = (yvalues[n/2] + yvalues[n/2+1])/2;
                        }
                }
        }

        motion_vector *t = c->current_vectors;
        c->current_vectors = c->denoise_vectors;
        c->denoise_vectors = t;

}

// Credits: ffmpeg
// return the median
static inline int median_predictor(int a, int b, int c) {
        if ( a > b ){
                if ( c > b ){
                        if ( c > a  ) b = a;
                        else      b = c;
                }
        } else {
                if ( b > c ){
                        if ( c > a ) b = c;
                        else     b = a;
                }
        }
        return b;
}


/** /brief Motion search
*
* For each macroblock in the current frame, estimate the block from the last frame that
* matches best.
*
* Vocab: Colocated - the pixel in the previous frame at the current position
*
* Based on enhanced predictive zonal search. [Tourapis 2002]
*/
static void motion_search( uint8_t *from,                       //<! Image data.
                           uint8_t *to,                         //<! Image data. Rigid grid.
                           struct motion_est_context_s *c)      //<! The context
{

#ifdef COUNT_COMPARES
        compares = 0;
#endif

        motion_vector candidates[10];
        motion_vector *here;            // This one gets used alot (about 30 times per macroblock)
        int n = 0;

        int i, j, count=0;

        // For every macroblock, perform motion vector estimation
        for( i = c->left_mb; i <= c->right_mb; i++ ){
         for( j = c->top_mb; j <= c->bottom_mb; j++ ){  

                here = CURRENT(i,j);
                here->valid = 1;
                here->color = 100;
                here->msad = MAX_MSAD;
                count++;
                n = 0;


                /* Stack the predictors [i.e. checked in reverse order] */

                /* Adjacent to collocated */
                if( c->former_vectors_valid )
                {
                        // Top of colocated
                        if( j > c->prev_top_mb ){// && COL_TOP->valid ){
                                candidates[n  ].dx = FORMER(i,j-1)->dx;
                                candidates[n++].dy = FORMER(i,j-1)->dy;
                        }
        
                        // Left of colocated
                        if( i > c->prev_left_mb ){// && COL_LEFT->valid ){
                                candidates[n  ].dx = FORMER(i-1,j)->dx;
                                candidates[n++].dy = FORMER(i-1,j)->dy;
                        }
        
                        // Right of colocated
                        if( i < c->prev_right_mb ){// && COL_RIGHT->valid ){
                                candidates[n  ].dx = FORMER(i+1,j)->dx;
                                candidates[n++].dy = FORMER(i+1,j)->dy;
                        }
        
                        // Bottom of colocated
                        if( j < c->prev_bottom_mb ){// && COL_BOTTOM->valid ){
                                candidates[n  ].dx = FORMER(i,j+1)->dx;
                                candidates[n++].dy = FORMER(i,j+1)->dy;
                        }

                        // And finally, colocated
                        candidates[n  ].dx = FORMER(i,j)->dx;
                        candidates[n++].dy = FORMER(i,j)->dy;
                }

                // For macroblocks not in the top row
                if ( j > c->top_mb) {

                        // Top if ( TOP->valid ) {
                                candidates[n  ].dx = CURRENT(i,j-1)->dx;
                                candidates[n++].dy = CURRENT(i,j-1)->dy;
                        //}

                        // Top-Right, macroblocks not in the right row
                        if ( i < c->right_mb ){// && TOP_RIGHT->valid ) {
                                candidates[n  ].dx = CURRENT(i+1,j-1)->dx;
                                candidates[n++].dy = CURRENT(i+1,j-1)->dy;      
                        }
                }

                // Left, Macroblocks not in the left column
                if ( i > c->left_mb ){// && LEFT->valid ) {
                        candidates[n  ].dx = CURRENT(i-1,j)->dx;
                        candidates[n++].dy = CURRENT(i-1,j)->dy;
                }

                /* Median predictor vector (median of left, top, and top right adjacent vectors) */
                if ( i > c->left_mb && j > c->top_mb && i < c->right_mb
                         )//&& LEFT->valid && TOP->valid && TOP_RIGHT->valid )
                { 
                        candidates[n  ].dx = median_predictor( CURRENT(i-1,j)->dx, CURRENT(i,j-1)->dx, CURRENT(i+1,j-1)->dx);
                        candidates[n++].dy = median_predictor( CURRENT(i-1,j)->dy, CURRENT(i,j-1)->dy, CURRENT(i+1,j-1)->dy);
                }

                // Zero vector
                candidates[n  ].dx = 0;
                candidates[n++].dy = 0;

                int x = i * c->mb_w;
                int y = j * c->mb_h;
                check_candidates ( to, from, x, y, candidates, n, 0, here, c ); 


#ifndef FULLSEARCH
                diamond_search( to, from, x, y, here, c); 
#else
                full_search( to, from, x, y, here, c); 
#endif

                assert( x + c->mb_w + here->dx > 0 );   // All macroblocks must have area > 0
                assert( y + c->mb_h + here->dy > 0 );
                assert( x + here->dx < c->width );
                assert( y + here->dy < c->height );

         } /* End column loop */
        } /* End row loop */

        asm volatile ( "emms" );

#ifdef COUNT_COMPARES
        fprintf(stderr, "%d comparisons per block were made", compares/count);
#endif
        return;
}

void collect_post_statistics( struct motion_est_context_s *c ) {

        c->comparison_average = 0;
        c->average_length = 0;
        c->average_x = 0;
        c->average_y = 0;

        int i, j, count = 0;

        for ( i = c->left_mb; i <= c->right_mb; i++ ){
         for ( j = c->top_mb; j <= c->bottom_mb; j++ ){  

                count++;
                c->comparison_average += CURRENT(i,j)->msad;
                c->average_x += CURRENT(i,j)->dx;
                c->average_y += CURRENT(i,j)->dy;


         }
        }

        if ( count > 0 )
        {
                c->comparison_average /= count;
                c->average_x /= count;
                c->average_y /= count;
                c->average_length = sqrt( c->average_x * c->average_x + c->average_y * c->average_y );
        }

}

static void init_optimizations( struct motion_est_context_s *c )
{
        switch(c->mb_w){
                case 4:  if(c->mb_h == 4)       c->compare_optimized = sad_sse_422_luma_4x4;
                         else                           c->compare_optimized = sad_sse_422_luma_4w;
                         break;
                case 8:  if(c->mb_h == 8)  c->compare_optimized = sad_sse_422_luma_8x8;
                         else                           c->compare_optimized = sad_sse_422_luma_8w;
                         break;
                case 16: if(c->mb_h == 16) c->compare_optimized = sad_sse_422_luma_16x16;
                         else                           c->compare_optimized = sad_sse_422_luma_16w;
                         break;
                case 32: if(c->mb_h == 32) c->compare_optimized = sad_sse_422_luma_32x32;
                         else                           c->compare_optimized = sad_sse_422_luma_32w;
                         break;
                case 64: c->compare_optimized = sad_sse_422_luma_64w;
                         break;
                default: c->compare_optimized = sad_reference;
                         break;
        }
}

inline static void set_red(uint8_t *image, struct motion_est_context_s *c)
{
        int n;
        for( n = 0; n < c->width * c->height * 2; n+=4 )
        {
                image[n]   = 79;
                image[n+1] = 91;
                image[n+2] = 79;
                image[n+3] = 237;
        }
                
}

static void show_residual( uint8_t *result,  struct motion_est_context_s *c )
{
        int i, j;
        int x,y,w,h;
        int dx, dy;
        int tx,ty;
        uint8_t *b, *r;

//      set_red(result,c);

        for( j = c->top_mb; j <= c->bottom_mb; j++ ){  
         for( i = c->left_mb; i <= c->right_mb; i++ ){

                dx = CURRENT(i,j)->dx;
                dy = CURRENT(i,j)->dy;
                w = c->mb_w;
                h = c->mb_h;
                x = i * w;
                y = j * h;

                // Denoise function caused some blocks to be completely clipped, ignore them    
                if (constrain( &x, &y, &w, &h, dx, dy, 0, c->width, 0, c->height) == 0 )
                        continue;

                for( ty = y; ty < y + h ; ty++ ){
                 for( tx = x; tx < x + w ; tx++ ){

                        b = c->former_image +  (tx+dx)*c->xstride + (ty+dy)*c->ystride;
                        r = result +            tx*c->xstride + ty*c->ystride;

                        r[0] = 16 + ABS( r[0] - b[0] );

                        if( dx % 2 == 0 )
                                r[1] = 128 + ABS( r[1] - b[1] );
                        else
                                // FIXME: may exceed boundies
                                r[1] = 128 + ABS( r[1] - ( *(b-1) + b[3] ) /2 );
                 }
                }
         }
        }
}

static void show_reconstruction( uint8_t *result, struct motion_est_context_s *c )
{
        int i, j;
        int x,y,w,h;
        int dx,dy;
        uint8_t *r, *s;
        int tx,ty;

        for( i = c->left_mb; i <= c->right_mb; i++ ){
         for( j = c->top_mb; j <= c->bottom_mb; j++ ){  

                dx = CURRENT(i,j)->dx;
                dy = CURRENT(i,j)->dy;
                w = c->mb_w;
                h = c->mb_h;
                x = i * w;
                y = j * h;

                // Denoise function caused some blocks to be completely clipped, ignore them    
                if (constrain( &x, &y, &w, &h, dx, dy, 0, c->width, 0, c->height) == 0 )
                        continue;

                for( ty = y; ty < y + h ; ty++ ){
                 for( tx = x; tx < x + w ; tx++ ){

                        r = result +          tx*c->xstride + ty*c->ystride;
                        s = c->former_image + (tx+dx)*c->xstride + (ty+dy)*c->ystride;

                        r[0] = s[0];

                        if( dx % 2 == 0 )
                                r[1] = s[1];
                        else
                                // FIXME: may exceed boundies
                                r[1] = ( *(s-1) + s[3] ) /2;
                 }
                }
         }
        }
}

// Image stack(able) method
static int filter_get_image( mlt_frame frame, uint8_t **image, mlt_image_format *format, int *width, int *height, int writable )
{
        // Get the filter
        mlt_filter filter = mlt_frame_pop_service( frame );

        // Get the motion_est context object
        struct motion_est_context_s *c = mlt_properties_get_data( MLT_FILTER_PROPERTIES( filter ), "context", NULL);


        // Get the new image and frame number
        int error = mlt_frame_get_image( frame, image, format, width, height, 1 );

        #ifdef BENCHMARK
        struct timeval start; gettimeofday(&start, NULL );
        #endif


        if( error != 0 )
                mlt_properties_debug( MLT_FRAME_PROPERTIES(frame), "error after mlt_frame_get_image() in motion_est", stderr );

        c->current_frame_position = mlt_frame_get_position( frame );

        /* Context Initialization */
        if ( c->initialized == 0 ) {

                // Get the filter properties object
                mlt_properties properties = mlt_filter_properties( filter );

                c->width = *width;
                c->height = *height;

                /* Get parameters that may have been overridden */
                if( mlt_properties_get( properties, "macroblock_width") != NULL )
                        c->mb_w = mlt_properties_get_int( properties, "macroblock_width");

                if( mlt_properties_get( properties, "macroblock_height") != NULL )
                        c->mb_h = mlt_properties_get_int( properties, "macroblock_height");

                if( mlt_properties_get( properties, "prediction_thresh") != NULL )
                        c->initial_thresh = mlt_properties_get_int( properties, "prediction_thresh" );
                else
                        c->initial_thresh = c->mb_w * c->mb_h;

                if( mlt_properties_get( properties, "search_method") != NULL )
                        c->search_method = mlt_properties_get_int( properties, "search_method");

                if( mlt_properties_get( properties, "skip_prediction") != NULL )
                        c->skip_prediction = mlt_properties_get_int( properties, "skip_prediction");

                if( mlt_properties_get( properties, "limit_x") != NULL )
                        c->limit_x = mlt_properties_get_int( properties, "limit_x");

                if( mlt_properties_get( properties, "limit_y") != NULL )
                        c->limit_y = mlt_properties_get_int( properties, "limit_y");

                if( mlt_properties_get( properties, "check_chroma" ) != NULL )
                        c->check_chroma = mlt_properties_get_int( properties, "check_chroma" );

                if( mlt_properties_get( properties, "denoise" ) != NULL )
                        c->denoise = mlt_properties_get_int( properties, "denoise" );

                if( mlt_properties_get( properties, "show_reconstruction" ) != NULL )
                        c->show_reconstruction = mlt_properties_get_int( properties, "show_reconstruction" );

                if( mlt_properties_get( properties, "show_residual" ) != NULL )
                        c->show_residual = mlt_properties_get_int( properties, "show_residual" );

                if( mlt_properties_get( properties, "toggle_when_paused" ) != NULL )
                        c->toggle_when_paused = mlt_properties_get_int( properties, "toggle_when_paused" );

                init_optimizations( c );

                // Calculate the dimensions in macroblock units
                c->mv_buffer_width = (*width / c->mb_w);
                c->mv_buffer_height = (*height / c->mb_h);

                // Size of the motion vector buffer
                c->mv_size =  c->mv_buffer_width * c->mv_buffer_height * sizeof(struct motion_vector_s);

                // Allocate the motion vector buffers
                c->former_vectors = mlt_pool_alloc( c->mv_size ); 
                c->current_vectors = mlt_pool_alloc( c->mv_size ); 
                c->denoise_vectors = mlt_pool_alloc( c->mv_size ); 

                // Register motion buffers for destruction
                mlt_properties_set_data( properties, "current_motion_vectors", (void *)c->current_vectors, 0, mlt_pool_release, NULL );
                mlt_properties_set_data( properties, "former_motion_vectors", (void *)c->former_vectors, 0, mlt_pool_release, NULL );
                mlt_properties_set_data( properties, "denoise_motion_vectors", (void *)c->denoise_vectors, 0, mlt_pool_release, NULL );

                c->former_vectors_valid = 0;
                memset( c->former_vectors, 0, c->mv_size );

                // Calculate the size of our steps (the number of bytes that seperate adjacent pixels in X and Y direction)
                switch( *format ) {
                        case mlt_image_yuv422:
                                c->xstride = 2;
                                c->ystride = c->xstride * *width;
                                break; 
                        default:
                                // I don't know
                                fprintf(stderr, "\"I am unfamiliar with your new fangled pixel format!\" -filter_motion_est\n");
                                return -1;
                }

                // Allocate a cache for the previous frame's image
                c->former_image = mlt_pool_alloc( *width * *height * 2 );
                c->cache_image = mlt_pool_alloc( *width * *height * 2 );

                // Register for destruction
                mlt_properties_set_data( properties, "cache_image", (void *)c->cache_image, 0, mlt_pool_release, NULL );
                mlt_properties_set_data( properties, "former_image", (void *)c->former_image, 0, mlt_pool_release, NULL );

                c->former_frame_position = c->current_frame_position;
                c->previous_msad = 0;

                c->initialized = 1;
        }

        /* Check to see if somebody else has given us bounds */
        struct mlt_geometry_item_s *bounds = mlt_properties_get_data( MLT_FRAME_PROPERTIES( frame ), "bounds", NULL );

        if( bounds != NULL ) {
                // translate pixel units (from bounds) to macroblock units
                // make sure whole macroblock stays within bounds
                c->left_mb = ( bounds->x + c->mb_w - 1 ) / c->mb_w;
                c->top_mb = ( bounds->y + c->mb_h - 1 ) / c->mb_h;
                c->right_mb = ( bounds->x + bounds->w ) / c->mb_w - 1;
                c->bottom_mb = ( bounds->y + bounds->h ) / c->mb_h - 1;
                c->bounds.x = bounds->x;
                c->bounds.y = bounds->y;
                c->bounds.w = bounds->w;
                c->bounds.h = bounds->h;
        } else {
                c->left_mb = c->prev_left_mb = 0;
                c->top_mb = c->prev_top_mb = 0;
                c->right_mb = c->prev_right_mb = c->mv_buffer_width - 1;        // Zero indexed
                c->bottom_mb = c->prev_bottom_mb = c->mv_buffer_height - 1;
                c->bounds.x = 0;
                c->bounds.y = 0;
                c->bounds.w = *width;
                c->bounds.h = *height;
        }

        // If video is advancing, run motion vector algorithm and etc...        
        if( c->former_frame_position + 1 == c->current_frame_position )
        {

                // Swap the motion vector buffers and reuse allocated memory
                struct motion_vector_s *temp = c->current_vectors;
                c->current_vectors = c->former_vectors;
                c->former_vectors = temp;

                // This is done because filter_vismv doesn't pay attention to frame boundry
                memset( c->current_vectors, 0, c->mv_size );

                // Perform the motion search
                motion_search( c->cache_image, *image, c );

                collect_post_statistics( c );


                // Detect shot changes
                if( c->comparison_average > 10 * c->mb_w * c->mb_h &&
                    c->comparison_average > c->previous_msad * 2 )
                {
                        fprintf(stderr, " - SAD: %d   <<Shot change>>\n", c->comparison_average);
                        mlt_properties_set_int( MLT_FRAME_PROPERTIES( frame ), "shot_change", 1);
                //      c->former_vectors_valid = 0; // Invalidate the previous frame's predictors
                        c->shot_change = 1;
                }
                else {
                        c->former_vectors_valid = 1;
                        c->shot_change = 0;
                        //fprintf(stderr, " - SAD: %d\n", c->comparison_average);
                }

                c->previous_msad = c->comparison_average;

                if( c->comparison_average != 0 ) { // If the frame is not a duplicate of the previous frame

                        // denoise the vector buffer
                        if( c->denoise )
                                median_denoise( c->current_vectors, c );

                        // Pass the new vector data into the frame
                        mlt_properties_set_data( MLT_FRAME_PROPERTIES( frame ), "motion_est.vectors",
                                         (void*)c->current_vectors, c->mv_size, NULL, NULL );

                        // Cache the frame's image. Save the old cache. Reuse memory.
                        // After this block, exactly two unique frames will be cached
                        uint8_t *timg = c->cache_image;
                        c->cache_image = c->former_image;
                        c->former_image = timg;
                        memcpy( c->cache_image, *image, *width * *height * c->xstride );


                }
                else {
                        // Undo the Swap, This fixes the ugliness caused by a duplicate frame
                        temp = c->current_vectors;
                        c->current_vectors = c->former_vectors;
                        c->former_vectors = temp;
                        mlt_properties_set_data( MLT_FRAME_PROPERTIES( frame ), "motion_est.vectors",
                                         (void*)c->former_vectors, c->mv_size, NULL, NULL );
                }


                if( c->shot_change == 1)
                        ;
                else if( c->show_reconstruction )
                        show_reconstruction( *image, c );
                else if( c->show_residual )
                        show_residual( *image, c );

        }
        // paused
        else if( c->former_frame_position == c->current_frame_position )
        {
                // Pass the old vector data into the frame if it's valid
                if( c->former_vectors_valid == 1 ) {
                        mlt_properties_set_data( MLT_FRAME_PROPERTIES( frame ), "motion_est.vectors",
                                         (void*)c->current_vectors, c->mv_size, NULL, NULL );

                        if( c->shot_change == 1)
                                ;
                        else if( c->toggle_when_paused == 1 ) {
                                if( c->show_reconstruction )
                                        show_reconstruction( *image, c );
                                else if( c->show_residual )
                                        show_residual( *image, c );
                                c->toggle_when_paused = 2;
                        }
                        else if( c->toggle_when_paused == 2 )
                                c->toggle_when_paused = 1;
                        else {
                                if( c->show_reconstruction )
                                        show_reconstruction( *image, c );
                                else if( c->show_residual )
                                        show_residual( *image, c );
                        }

                }

                mlt_properties_set_int( MLT_FRAME_PROPERTIES( frame ), "shot_change", c->shot_change);
        }
        // there was jump in frame number
        else {
//              fprintf(stderr, "Warning: there was a frame number jumped from %d to %d.\n", c->former_frame_position, c->current_frame_position);
                c->former_vectors_valid = 0;
        }


        // Cache our bounding geometry for the next frame's processing
        c->prev_left_mb = c->left_mb;
        c->prev_top_mb = c->top_mb;
        c->prev_right_mb = c->right_mb;
        c->prev_bottom_mb = c->bottom_mb;

        // Remember which frame this is
        c->former_frame_position = c->current_frame_position;


        mlt_properties_set_int( MLT_FRAME_PROPERTIES( frame ), "motion_est.macroblock_width", c->mb_w );
        mlt_properties_set_int( MLT_FRAME_PROPERTIES( frame ), "motion_est.macroblock_height", c->mb_h );
        mlt_properties_set_int( MLT_FRAME_PROPERTIES( frame ), "motion_est.left_mb", c->left_mb );
        mlt_properties_set_int( MLT_FRAME_PROPERTIES( frame ), "motion_est.right_mb", c->right_mb );
        mlt_properties_set_int( MLT_FRAME_PROPERTIES( frame ), "motion_est.top_mb", c->top_mb );
        mlt_properties_set_int( MLT_FRAME_PROPERTIES( frame ), "motion_est.bottom_mb", c->bottom_mb );

        #ifdef BENCHMARK
        struct timeval finish; gettimeofday(&finish, NULL ); int difference = (finish.tv_sec - start.tv_sec) * 1000000 + (finish.tv_usec - start.tv_usec);
        fprintf(stderr, " in frame %d:%d usec\n", c->current_frame_position, difference);
        #endif


        return error;
}



/** filter processing.
*/

static mlt_frame filter_process( mlt_filter this, mlt_frame frame )
{

        // Keeps tabs on the filter object
        mlt_frame_push_service( frame, this);

        // Push the frame filter
        mlt_frame_push_get_image( frame, filter_get_image );

        return frame;
}

/** Constructor for the filter.
*/
mlt_filter filter_motion_est_init( char *arg )
{
        mlt_filter this = mlt_filter_new( );
        if ( this != NULL )
        {
                // Get the properties object
                mlt_properties properties = MLT_FILTER_PROPERTIES( this );

                // Initialize the motion estimation context
                struct motion_est_context_s *context;
                context = mlt_pool_alloc( sizeof(struct motion_est_context_s) );
                mlt_properties_set_data( properties, "context", (void *)context, sizeof( struct motion_est_context_s ),
                                        mlt_pool_release, NULL );


                // Register the filter
                this->process = filter_process;

                /* defaults that may be overridden */
                context->mb_w = 16;
                context->mb_h = 16;
                context->skip_prediction = 0;
                context->limit_x = 64;
                context->limit_y = 64;
                context->search_method = DIAMOND_SEARCH;        // FIXME: not used
                context->check_chroma = 0;
                context->denoise = 1;
                context->show_reconstruction = 0;
                context->show_residual = 0;
                context->toggle_when_paused = 0;

                /* reference functions that may have optimized versions */
                context->compare_reference = sad_reference;

                // The rest of the buffers will be initialized when the filter is first processed
                context->initialized = 0;
        }
        return this;
}