diff --git a/CUTTER_REPORT.html b/CUTTER_REPORT.html index 12e287f..2223d46 100644 --- a/CUTTER_REPORT.html +++ b/CUTTER_REPORT.html @@ -132,4 +132,4 @@ table.ov tr:hover { background: rgba(255, 255, 255, 0.05); }
-

Cutter & Match Report

Generiert: 2026-05-08 12:22:34Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 23 automatisch (4 bestätigt) — 2 manuell.
Recent Changes:
Fix multi-shot matching: increase cut correlation threshold to properly segment multi-island beats

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
MAN.Kein Treffer — manuell suchen oder Schwarzbild einfügen

Übersicht

BeatTrailer TC In–OutDauerSource TC InSceneScoreStatus
0000:00:00:00–00:00:03:003.00s00:00:03:1910.597?
0100:00:03:00–00:00:08:105.40s00:00:04:0910.380?
0200:00:08:10–00:00:16:248.56s00:00:35:0530.761OK
0300:00:16:24–00:00:19:032.16s01:02:19:034360.572?
0400:00:19:03–00:00:20:161.52s01:02:21:094370.728OK
0500:00:20:16–00:00:26:095.72s00:01:33:03100.499?
0600:00:26:09–00:00:29:062.88s00:01:03:0750.396?
0700:00:29:06–00:00:31:172.44s01:20:10:105530.497?
0800:00:31:17–00:00:33:161.96s00:00:51:0750.620?
0900:00:33:16–00:00:36:193.12s01:20:29:035570.674OK
1000:00:36:19–00:00:40:023.32s01:20:35:16558+559+5560.660?
1100:00:40:02–00:00:42:032.04s01:20:40:185590.636?
1200:00:42:03–00:00:50:068.12s01:14:26:06519+130.701OK
1300:00:50:06–00:00:53:213.60s00:43:19:133080.636?
1400:00:53:21–00:00:57:023.24s00:43:38:063090.626?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.650?
1600:01:01:12–00:01:04:123.00s01:05:12:124510.626?
1700:01:04:12–00:01:09:034.64s01:31:18:04623+720.399?
1800:01:09:03–00:01:10:191.64s———MAN.
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:27:05:036130.417?
2100:01:15:14–00:01:17:131.96s00:23:55:001750.526?
2200:01:17:13–00:01:19:232.40s01:03:05:114420.544?
2300:01:19:23–00:01:25:145.64s01:04:35:214460.534?
2400:01:25:14–00:01:32:076.72s———MAN.

Beat-Details

Beat 00

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:00:00–00:00:03:00  (3.00s)
Phase logo animation assembling from distorted shapes with motion blur
Bild centered, symmetrical, abstract black void
Source
00:00:03:19–00:00:05:09
Scene 1 · Score 0.597
⚠ Score 0.597 unter 0.65 — visuell prüfen
python cli.py rematch --beat 0

Beat 01

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:03:00–00:00:08:10  (5.40s)
Phase Dynamic motion blur and shifting optical distortions across the text
Bild Centered, symmetrical layout with overlapping circular glass-like distortions, Abstract black void
Source
00:00:04:09–00:00:06:03
Scene 1 · Score 0.380
⚠ Score 0.380 unter 0.65 — visuell prüfen
python cli.py rematch --beat 1

Beat 02

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:08:10–00:00:16:24  (8.56s)
Phase drawing a heart shape on a foggy surface
Bild extreme close-up, shifting from profile of a face to a hand interacting with a surface, indoor, obscured glass or foggy surface
Source
00:00:35:05–00:00:43:06
Scene 3 · Score 0.761
python cli.py rematch --beat 2

Beat 03

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:16:24–00:00:19:03  (2.16s)
Phase speaking and smiling slightly
Bild close-up shot, centered face, outdoor rocky environment
Source
01:02:19:03–01:02:20:20
Scene 436 · Score 0.572
⚠ Score 0.572 unter 0.65 — visuell prüfen
python cli.py rematch --beat 3

Beat 04

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:19:03–00:00:20:16  (1.52s)
Phase lifting a camera to eye level to take a photo
Bild medium shot, subject centered, shallow depth of field with blurred treeline background, outdoor forest landscape, overcast sky
Source
01:02:21:09–01:02:22:08
Scene 437 · Score 0.728
python cli.py rematch --beat 4

Beat 05

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:20:16–00:00:26:09  (5.72s)
Phase a metallic cylindrical object is brought toward and touches the skin of the forearm
Bild extreme close-up, shallow depth of field, indistinct dark interior
Source
00:01:33:03–00:01:37:09
Scene 10 · Score 0.499
⚠ Score 0.499 unter 0.65 — visuell prüfen
python cli.py rematch --beat 5

Beat 06

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:26:09–00:00:29:06  (2.88s)
Phase hand reaching toward and touching an ornate decorative box
Bild close-up, shallow depth of field, hand entering from left frame, dark interior
Source
00:01:03:07–00:01:05:03
Scene 5 · Score 0.396
⚠ Score 0.396 unter 0.65 — visuell prüfen
python cli.py rematch --beat 6

Beat 07

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:29:06–00:00:31:17  (2.44s)
Phase man appears to be engaged in conversation
Bild man in a light gray sweater and scarf, seated on a white couch, with a window in the background, indoor with a view of the ocean
Source
01:20:10:10–01:20:12:14
Scene 553 · Score 0.497
⚠ Score 0.497 unter 0.65 — visuell prüfen
python cli.py rematch --beat 7

Beat 08

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:31:17–00:00:33:16  (1.96s)
Phase static or slow drifting
Bild close-up, diagonal curve from top-left to bottom-center, dark, indistinct void
Source
00:00:51:07–00:00:53:01
Scene 5 · Score 0.620
⚠ Score 0.620 unter 0.65 — visuell prüfen
python cli.py rematch --beat 8

Beat 09

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:33:16–00:00:36:19  (3.12s)
Phase speaking, transitioning from closed eyes to open mouth and focused gaze
Bild medium close-up, subject positioned right of center, profile/three-quarter view, indoor room next to a large window overlooking a blue horizon/sea
Source
01:20:29:03–01:20:32:06
Scene 557 · Score 0.674
python cli.py rematch --beat 9

Beat 10

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:36:19–00:00:40:02  (3.32s)
Phase conversation
Bild alternating close-ups and a medium two-shot, indoor living room with large windows showing a blue exterior landscape
Source
01:20:35:16  (multi-shot)
Scene Scenes 558, 559, 556 · 3 Segmente
  • Seg 1: 01:20:35:16  dur 0.88s  @ off 0.00s  sc 558  score 0.674
  • Seg 2: 01:20:36:13  dur 1.76s  @ off 0.88s  sc 559  score 0.649
  • Seg 3: 01:20:22:14  dur 0.68s  @ off 2.64s  sc 556  score 0.672
python cli.py rematch --beat 10

Beat 11

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:40:02–00:00:42:03  (2.04s)
Phase static talking head with slight facial expression changes
Bild medium close-up, subject positioned right of center, profile/three-quarter view facing left, indoor room with a large window showing a blue sea/horizon background
Source
01:20:40:18–01:20:42:18
Scene 559 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 11

Beat 12

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:42:03–00:00:50:06  (8.12s)
Phase static profile shot transitioning to black/darkness
Bild medium close-up, profile view, subject positioned on the right side of the frame, dark outdoor environment, blurred trees in background
Source
01:14:26:06  (multi-shot)
Scene Scenes 519, 13 · 2 Segmente
  • Seg 1: 01:14:26:06  dur 3.52s  @ off 0.16s  sc 519  score 0.721
  • Seg 2: 00:01:47:14  dur 2.88s  @ off 4.88s  sc 13  score 0.676
python cli.py rematch --beat 12

Beat 13

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:50:06–00:00:53:21  (3.60s)
Phase static conversation; woman on right is standing and holding a cup
Bild wide shot, two figures positioned on opposite sides of a round dining table, modern glass-walled sunroom or conservatory overlooking a snowy landscape
Source
00:43:19:13–00:43:23:04
Scene 308 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 13

Beat 14

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:53:21–00:00:57:02  (3.24s)
Phase static conversation, subject holding a white cup
Bild medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest
Source
00:43:38:06–00:43:41:09
Scene 309 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 14

Beat 15

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:57:02–00:01:01:12  (4.40s)
Phase static conversation
Bild medium shot, profile view of two characters facing each other, indoor room with a large window overlooking a snowy forest
Source
00:02:10:08  (multi-shot)
Scene Scenes 17, 309 · 2 Segmente
  • Seg 1: 00:02:10:08  dur 2.80s  @ off 0.24s  sc 17  score 0.720
  • Seg 2: 00:43:38:19  dur 1.28s  @ off 3.04s  sc 309  score 0.380
python cli.py rematch --beat 15

Beat 16

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:01:12–00:01:04:12  (3.00s)
Phase man reaches out and touches the red door with a small object
Bild medium side profile shot, subject on left, door on right, indoor dim environment, adjacent to a red wooden door
Source
01:05:12:12–01:05:15:07
Scene 451 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 16

Beat 17

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:04:12–00:01:09:03  (4.64s)
Phase Static intimacy transitioning to a spatial arrangement of figures
Bild Medium shot, eye-level. First two frames: static shot of couple in bed. Third frame: wide shot of women among white blocks, Bedroom with bedside table and lamp; transition to a white minimalist interior with pedestals
Source
01:31:18:04  (multi-shot)
Scene Scenes 623, 72 · 3 Segmente
  • Seg 1: 01:31:18:04  dur 1.92s  @ off 0.24s  sc 623  score 0.384
  • Seg 2: 00:09:06:13  dur 1.04s  @ off 2.80s  sc 72  score 0.434
  • Seg 3: 00:09:07:18  dur 0.50s  @ off 4.00s  sc 72  score 0.384
⚠ Score 0.399 unter 0.65 — visuell prüfen
python cli.py rematch --beat 17

Beat 18

MAN.Kein Treffer
Trailer 18
— manuell setzen —
Trailer
00:01:09:03–00:01:10:19  (1.64s)
Phase Woman in foreground turns her head from profile to face the camera while speaking
Bild Medium shot, three-quarter profile of woman in foreground left, two women positioned behind her to the right, Indoors, minimalist dark background
— kein automatischer Treffer —
python cli.py rematch --beat 18

Beat 19

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:10:19–00:01:12:13  (1.76s)
Phase static conversation, subtle facial expression change
Bild medium close-up, over-the-shoulder shot with a blurred figure in the foreground right, outdoor dark forest or wooded area
Source
00:16:48:13–00:16:49:10
Scene 126 · Score 0.403
⚠ Score 0.403 unter 0.65 — visuell prüfen
python cli.py rematch --beat 19

Beat 20

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:12:13–00:01:15:14  (3.04s)
Phase man kisses woman's forehead, then they pull back slightly to face each other
Bild extreme close-up, profile view, faces facing each other, indoor, blurred background
Source
01:27:05:03–01:27:06:00
Scene 613 · Score 0.417
⚠ Score 0.417 unter 0.65 — visuell prüfen
python cli.py rematch --beat 20

Beat 21

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:15:14–00:01:17:13  (1.96s)
Phase hand raised to mouth, slight facial movement
Bild extreme close-up, face partially obscured by shadow, dark interior
Source
00:23:55:00–00:23:56:23
Scene 175 · Score 0.526
⚠ Score 0.526 unter 0.65 — visuell prüfen
python cli.py rematch --beat 21

Beat 22

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:17:13–00:01:19:23  (2.40s)
Phase man looks up and speaks, transitioning from downward gaze to forward gaze
Bild close-up, profile to three-quarter view, outdoor rocky environment, blurred background
Source
01:03:05:11–01:03:07:07
Scene 442 · Score 0.544
⚠ Score 0.544 unter 0.65 — visuell prüfen
python cli.py rematch --beat 22

Beat 23

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:19:23–00:01:25:14  (5.64s)
Phase static posture, head tilted upwards looking at the sky
Bild medium shot, subject positioned on the left third, facing away from camera towards the water, rocky shoreline next to a body of water under an overcast sky
Source
01:04:35:21–01:04:41:02
Scene 446 · Score 0.534
⚠ Score 0.534 unter 0.65 — visuell prüfen
python cli.py rematch --beat 23

Beat 24

MAN.Kein Treffer
Trailer 24
— manuell setzen —
Trailer
00:01:25:14–00:01:32:07  (6.72s)
— kein automatischer Treffer —
python cli.py rematch --beat 24
+

Cutter & Match Report

Generiert: 2026-05-08 12:46:56Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 23 automatisch (4 bestätigt) — 2 manuell.
Recent Changes:
Fix multi-shot matching: increase cut correlation threshold to properly segment multi-island beats

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
MAN.Kein Treffer — manuell suchen oder Schwarzbild einfügen

Übersicht

BeatTrailer TC In–OutDauerSource TC InSceneScoreStatus
0000:00:00:00–00:00:03:003.00s00:00:03:1910.597?
0100:00:03:00–00:00:08:105.40s00:00:04:0910.380?
0200:00:08:10–00:00:16:248.56s00:00:35:0530.761OK
0300:00:16:24–00:00:19:032.16s01:02:19:034360.572?
0400:00:19:03–00:00:20:161.52s01:02:21:094370.728OK
0500:00:20:16–00:00:26:095.72s00:01:33:03100.499?
0600:00:26:09–00:00:29:062.88s00:01:03:0750.396?
0700:00:29:06–00:00:31:172.44s01:20:10:105530.497?
0800:00:31:17–00:00:33:161.96s00:00:51:0750.620?
0900:00:33:16–00:00:36:193.12s01:20:29:035570.674OK
1000:00:36:19–00:00:40:023.32s01:20:35:16558+559+5560.660?
1100:00:40:02–00:00:42:032.04s01:20:40:185590.636?
1200:00:42:03–00:00:50:068.12s01:14:26:06519+130.701OK
1300:00:50:06–00:00:53:213.60s00:43:19:133080.636?
1400:00:53:21–00:00:57:023.24s00:43:30:233090.444?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.650?
1600:01:01:12–00:01:04:123.00s01:05:12:124510.626?
1700:01:04:12–00:01:09:034.64s01:31:18:04623+720.399?
1800:01:09:03–00:01:10:191.64s———MAN.
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:27:05:036130.417?
2100:01:15:14–00:01:17:131.96s00:23:55:001750.526?
2200:01:17:13–00:01:19:232.40s01:03:05:114420.544?
2300:01:19:23–00:01:25:145.64s01:04:35:214460.534?
2400:01:25:14–00:01:32:076.72s———MAN.

Beat-Details

Beat 00

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:00:00–00:00:03:00  (3.00s)
Phase logo animation assembling from distorted shapes with motion blur
Bild centered, symmetrical, abstract black void
Source
00:00:03:19–00:00:05:09
Scene 1 · Score 0.597
⚠ Score 0.597 unter 0.65 — visuell prüfen
python cli.py rematch --beat 0

Beat 01

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:03:00–00:00:08:10  (5.40s)
Phase Dynamic motion blur and shifting optical distortions across the text
Bild Centered, symmetrical layout with overlapping circular glass-like distortions, Abstract black void
Source
00:00:04:09–00:00:06:03
Scene 1 · Score 0.380
⚠ Score 0.380 unter 0.65 — visuell prüfen
python cli.py rematch --beat 1

Beat 02

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:08:10–00:00:16:24  (8.56s)
Phase drawing a heart shape on a foggy surface
Bild extreme close-up, shifting from profile of a face to a hand interacting with a surface, indoor, obscured glass or foggy surface
Source
00:00:35:05–00:00:43:06
Scene 3 · Score 0.761
python cli.py rematch --beat 2

Beat 03

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:16:24–00:00:19:03  (2.16s)
Phase speaking and smiling slightly
Bild close-up shot, centered face, outdoor rocky environment
Source
01:02:19:03–01:02:20:20
Scene 436 · Score 0.572
⚠ Score 0.572 unter 0.65 — visuell prüfen
python cli.py rematch --beat 3

Beat 04

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:19:03–00:00:20:16  (1.52s)
Phase lifting a camera to eye level to take a photo
Bild medium shot, subject centered, shallow depth of field with blurred treeline background, outdoor forest landscape, overcast sky
Source
01:02:21:09–01:02:22:08
Scene 437 · Score 0.728
python cli.py rematch --beat 4

Beat 05

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:20:16–00:00:26:09  (5.72s)
Phase a metallic cylindrical object is brought toward and touches the skin of the forearm
Bild extreme close-up, shallow depth of field, indistinct dark interior
Source
00:01:33:03–00:01:37:09
Scene 10 · Score 0.499
⚠ Score 0.499 unter 0.65 — visuell prüfen
python cli.py rematch --beat 5

Beat 06

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:26:09–00:00:29:06  (2.88s)
Phase hand reaching toward and touching an ornate decorative box
Bild close-up, shallow depth of field, hand entering from left frame, dark interior
Source
00:01:03:07–00:01:05:03
Scene 5 · Score 0.396
⚠ Score 0.396 unter 0.65 — visuell prüfen
python cli.py rematch --beat 6

Beat 07

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:29:06–00:00:31:17  (2.44s)
Phase man appears to be engaged in conversation
Bild man in a light gray sweater and scarf, seated on a white couch, with a window in the background, indoor with a view of the ocean
Source
01:20:10:10–01:20:12:14
Scene 553 · Score 0.497
⚠ Score 0.497 unter 0.65 — visuell prüfen
python cli.py rematch --beat 7

Beat 08

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:31:17–00:00:33:16  (1.96s)
Phase static or slow drifting
Bild close-up, diagonal curve from top-left to bottom-center, dark, indistinct void
Source
00:00:51:07–00:00:53:01
Scene 5 · Score 0.620
⚠ Score 0.620 unter 0.65 — visuell prüfen
python cli.py rematch --beat 8

Beat 09

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:33:16–00:00:36:19  (3.12s)
Phase speaking, transitioning from closed eyes to open mouth and focused gaze
Bild medium close-up, subject positioned right of center, profile/three-quarter view, indoor room next to a large window overlooking a blue horizon/sea
Source
01:20:29:03–01:20:32:06
Scene 557 · Score 0.674
python cli.py rematch --beat 9

Beat 10

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:36:19–00:00:40:02  (3.32s)
Phase conversation
Bild alternating close-ups and a medium two-shot, indoor living room with large windows showing a blue exterior landscape
Source
01:20:35:16  (multi-shot)
Scene Scenes 558, 559, 556 · 3 Segmente
  • Seg 1: 01:20:35:16  dur 0.88s  @ off 0.00s  sc 558  score 0.674
  • Seg 2: 01:20:36:13  dur 1.76s  @ off 0.88s  sc 559  score 0.649
  • Seg 3: 01:20:22:14  dur 0.68s  @ off 2.64s  sc 556  score 0.672
python cli.py rematch --beat 10

Beat 11

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:40:02–00:00:42:03  (2.04s)
Phase static talking head with slight facial expression changes
Bild medium close-up, subject positioned right of center, profile/three-quarter view facing left, indoor room with a large window showing a blue sea/horizon background
Source
01:20:40:18–01:20:42:18
Scene 559 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 11

Beat 12

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:42:03–00:00:50:06  (8.12s)
Phase static profile shot transitioning to black/darkness
Bild medium close-up, profile view, subject positioned on the right side of the frame, dark outdoor environment, blurred trees in background
Source
01:14:26:06  (multi-shot)
Scene Scenes 519, 13 · 2 Segmente
  • Seg 1: 01:14:26:06  dur 3.52s  @ off 0.16s  sc 519  score 0.721
  • Seg 2: 00:01:47:14  dur 2.88s  @ off 4.88s  sc 13  score 0.676
python cli.py rematch --beat 12

Beat 13

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:50:06–00:00:53:21  (3.60s)
Phase static conversation; woman on right is standing and holding a cup
Bild wide shot, two figures positioned on opposite sides of a round dining table, modern glass-walled sunroom or conservatory overlooking a snowy landscape
Source
00:43:19:13–00:43:23:04
Scene 308 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 13

Beat 14

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:53:21–00:00:57:02  (3.24s)
Phase static conversation, subject holding a white cup
Bild medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest
Source
00:43:30:23–00:43:34:02
Scene 309 · Score 0.444
⚠ Score 0.444 unter 0.65 — visuell prüfen
python cli.py rematch --beat 14

Beat 15

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:57:02–00:01:01:12  (4.40s)
Phase static conversation
Bild medium shot, profile view of two characters facing each other, indoor room with a large window overlooking a snowy forest
Source
00:02:10:08  (multi-shot)
Scene Scenes 17, 309 · 2 Segmente
  • Seg 1: 00:02:10:08  dur 2.80s  @ off 0.24s  sc 17  score 0.720
  • Seg 2: 00:43:38:19  dur 1.28s  @ off 3.04s  sc 309  score 0.380
python cli.py rematch --beat 15

Beat 16

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:01:12–00:01:04:12  (3.00s)
Phase man reaches out and touches the red door with a small object
Bild medium side profile shot, subject on left, door on right, indoor dim environment, adjacent to a red wooden door
Source
01:05:12:12–01:05:15:07
Scene 451 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 16

Beat 17

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:04:12–00:01:09:03  (4.64s)
Phase Static intimacy transitioning to a spatial arrangement of figures
Bild Medium shot, eye-level. First two frames: static shot of couple in bed. Third frame: wide shot of women among white blocks, Bedroom with bedside table and lamp; transition to a white minimalist interior with pedestals
Source
01:31:18:04  (multi-shot)
Scene Scenes 623, 72 · 3 Segmente
  • Seg 1: 01:31:18:04  dur 1.92s  @ off 0.24s  sc 623  score 0.384
  • Seg 2: 00:09:06:13  dur 1.04s  @ off 2.80s  sc 72  score 0.434
  • Seg 3: 00:09:07:18  dur 0.50s  @ off 4.00s  sc 72  score 0.384
⚠ Score 0.399 unter 0.65 — visuell prüfen
python cli.py rematch --beat 17

Beat 18

MAN.Kein Treffer
Trailer 18
— manuell setzen —
Trailer
00:01:09:03–00:01:10:19  (1.64s)
Phase Woman in foreground turns her head from profile to face the camera while speaking
Bild Medium shot, three-quarter profile of woman in foreground left, two women positioned behind her to the right, Indoors, minimalist dark background
— kein automatischer Treffer —
python cli.py rematch --beat 18

Beat 19

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:10:19–00:01:12:13  (1.76s)
Phase static conversation, subtle facial expression change
Bild medium close-up, over-the-shoulder shot with a blurred figure in the foreground right, outdoor dark forest or wooded area
Source
00:16:48:13–00:16:49:10
Scene 126 · Score 0.403
⚠ Score 0.403 unter 0.65 — visuell prüfen
python cli.py rematch --beat 19

Beat 20

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:12:13–00:01:15:14  (3.04s)
Phase man kisses woman's forehead, then they pull back slightly to face each other
Bild extreme close-up, profile view, faces facing each other, indoor, blurred background
Source
01:27:05:03–01:27:06:00
Scene 613 · Score 0.417
⚠ Score 0.417 unter 0.65 — visuell prüfen
python cli.py rematch --beat 20

Beat 21

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:15:14–00:01:17:13  (1.96s)
Phase hand raised to mouth, slight facial movement
Bild extreme close-up, face partially obscured by shadow, dark interior
Source
00:23:55:00–00:23:56:23
Scene 175 · Score 0.526
⚠ Score 0.526 unter 0.65 — visuell prüfen
python cli.py rematch --beat 21

Beat 22

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:17:13–00:01:19:23  (2.40s)
Phase man looks up and speaks, transitioning from downward gaze to forward gaze
Bild close-up, profile to three-quarter view, outdoor rocky environment, blurred background
Source
01:03:05:11–01:03:07:07
Scene 442 · Score 0.544
⚠ Score 0.544 unter 0.65 — visuell prüfen
python cli.py rematch --beat 22

Beat 23

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:19:23–00:01:25:14  (5.64s)
Phase static posture, head tilted upwards looking at the sky
Bild medium shot, subject positioned on the left third, facing away from camera towards the water, rocky shoreline next to a body of water under an overcast sky
Source
01:04:35:21–01:04:41:02
Scene 446 · Score 0.534
⚠ Score 0.534 unter 0.65 — visuell prüfen
python cli.py rematch --beat 23

Beat 24

MAN.Kein Treffer
Trailer 24
— manuell setzen —
Trailer
00:01:25:14–00:01:32:07  (6.72s)
— kein automatischer Treffer —
python cli.py rematch --beat 24
diff --git a/CUTTER_REPORT.md b/CUTTER_REPORT.md index 64b785d..9d746f6 100644 --- a/CUTTER_REPORT.md +++ b/CUTTER_REPORT.md @@ -1,6 +1,6 @@ # Cutter-Report — manuelles Nachschneiden -Generiert: **2026-05-08 12:22:34** +Generiert: **2026-05-08 12:46:56** - **Trailer**: `BehindTheRedDoor_Trailer_REFERENCE.mp4` @ 25.000 fps - **Source** : `BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4` @ 23.976 fps @@ -35,7 +35,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | 11 | 00:00:40:02 – 00:00:42:03 | 01:20:40:18 – 01:20:42:18 | 559 | 0.636 | ? | | 12 | 00:00:42:03 – 00:00:50:06 | 01:14:26:06 – 01:14:29:18 | 519 (+1) | 0.701 | OK | | 13 | 00:00:50:06 – 00:00:53:21 | 00:43:19:13 – 00:43:23:04 | 308 | 0.636 | ? | -| 14 | 00:00:53:21 – 00:00:57:02 | 00:43:38:06 – 00:43:41:09 | 309 | 0.626 | ? | +| 14 | 00:00:53:21 – 00:00:57:02 | 00:43:30:23 – 00:43:34:02 | 309 | 0.444 | ? | | 15 | 00:00:57:02 – 00:01:01:12 | 00:02:10:08 – 00:02:13:03 | 17 (+1) | 0.650 | ? | | 16 | 00:01:01:12 – 00:01:04:12 | 01:05:12:12 – 01:05:15:07 | 451 | 0.626 | ? | | 17 | 00:01:04:12 – 00:01:09:03 | 01:31:18:04 – 01:31:20:02 | 623 (+2) | 0.399 | ? | @@ -262,8 +262,8 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. ### Beat 14 — ? / Vorläufig - **Trailer**: 00:00:53:21 – 00:00:57:02 (3.24 s) -- **Source** : 00:43:38:06 – 00:43:41:09 (scene 309, score 0.626) -- ⚠ Score 0.626 unter 0.65 — visuell prüfen +- **Source** : 00:43:30:23 – 00:43:34:02 (scene 309, score 0.444) +- ⚠ Score 0.444 unter 0.65 — visuell prüfen - **Rematch**: `python cli.py rematch --beat 14` - **Phase**: static conversation, subject holding a white cup - **Bild**: medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest @@ -272,7 +272,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | Trailer | Source | |:---:|:---:| -| ![Trailer 14](data:image/jpeg;base64,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) 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YZRh4aZdudR5ed1d1JY0OVeW9rfhpiGJ1aW4g5Cxp8O8Yqo1LxIucrfRdUuxyJFKiuZpczGvAC06ScmgFVpcfFc+yTcXFjBpajbiovpPSepSS4ARsUGnIaeIvkwc1z3N2rpXUGijEYj1EHMjldtt0xNxc0dE+my6KBr8mIckEmtLTFk1IDSlbl41L6Dl4oUOoYlJ1Bz1DLyuodQxsvhmNj21yXn5m1TqGM8CLXStoB6iJ43pGtSKVOdy3Gqq6HhERml4fZeqEYNqJHLKudslN87OwEkcch8QAgjLkL546nQIHVy+npvIY4b1GZTltdLPtN+038Ru+/FDqz9L7V/+2xBXOoKpkeW2Q43QW9pv23/AIja7ny/vgrD4/3yLfwy2j4g6S3LGwn6zf0ZicWZUyag8r+begGnWumH/wBZD/FfeHYm7fbdkPuFbiOO9RvWxtbA73jusaFmYKBuzEAD3m0LG9fwuFWo1uTs3huE9xIFfdfTKcY6uiUYOWisVuJOduxyNHmpINg4PqMGMw4mTUBnXUNJyvz42GFgJXVKio4n5C9yVah4vSiyriGaIAmt4mJZcq2gf370+MBPF1VFSVFVQVp3HcfXags2GZRSVDUVyYWOUX2ibg10x2aRg+raxGkMgOdbnOwYVU1Fp4NBytgpBCkcdrOiZAppaSWoL8JiuxsjUHO2q2zJpysdpKqLYdrJqDWlrbRbjYgc3uo3hh2udbgz1Nw13Id1gU8Hpcwa2wRnlbmh6VpZMSB0tbUjV1eh+y46rhIe1vQ1+V4xSu8UpyFkCuitvNGDQ5DIW0yEbNXyvgqzosb11OW91n4kbVPhzUk+C1a89d2ENobuBut/ELB58PT/AKJv47nPQaOog3a4D/w+v+7f/mtdTu3YJGk6IigVJRgP/wDqb2136Maei9Re6ZjZ8PBAsbMv4MYND/KL3HY0srKzlzxzr7rGKNhsErHIrHGvnsBaU+pwFGQ9pmOwHM3pzaXEEYrUGOIOnLiT8hYUrfhk7mtffbmLYRCnEiijiF5nzP2XmEw5nIL+yM/Uj9LgyyBhqVanjcIJdMvds2VvTSeJIxGwyXz87gsOoauFgwTiQXaoH3FqeVuQEylq8EAvBJrw5AOamjDy/N7trJwQAVF/OanzpZMEioEK8tPzP7rdLeH4x9/1W3rHY/5MvnkLzG/08uOZ8wbIAqIeMI34qQPcaX1PBqqYKIyyS0CHtBy3N8v6KAXYuKqoVrXZ+ozV7WYDYLXIC+jYfG2S3Y8lRYpz0rEVSR66q5sfZuj4qBcNiCiuGT7rcxekNIS7NvwsSRs9OR415XaU+XRNRrsUosVCAqlPXLc3GIxHEuTq0sMgtgq7UOQIOXnckkMbKynY2L0GF6A6iA2ogHIWuxBX9lFHCvG6xHikpqNcj7Nczaieo+NAViVkkr2hRw5k3WMkTaYbjYMKkdPB1EbldwTztJGIIXw6EU2yqLcGEx8o7n0at6ne316YyUqS5/aoL2XogKlqyvzjfUBU8aUzsTYWsYrp2JSpb2R7xaUAK05XKVplEYFbl77Oh8SulNVcqkWp4SJHh01FfsuWEiZMZoquYBB5iyoaAci0YGvhAEsf2t7O020irGtulwqFjwF9FUczeQfFqrwlWpRhlW6tAEVihQPUkagaW7j+pRzsKa0K5eRtIUjUSJDvfPuTLRQRiCFoAMq0uEUJYk0JoMxcGK17mI93G3BIqDTqOfHjc1WrHEjr2nT07TT/AO6ux/l4+fK6U/tv+2/8Ru5/EARR08oh0ti17s6VUberVy9Lpb+2/wC2/wDEbTc1/vgrDQV/h4aut9LHPGQD/wDq+6zvFA+lnWo4XwXomv8Avfp2jJ/pcGn11X2CeWMM30jNh94Zj0rddh0pEt5W16AXVcQk+JWMsBHEFkfY1P3VA5k5n0um43FxtiIpGYugqWRiSK6jQZ19TfuvSqswaGoEi0rnutf0urESyv3G5bs7ky+3GooukfV46KmoKoXPt3NeFTt6C0jH4qSbEE6jlT3eQ8vO0kPFHu2d++kCQ0B+q5ubY1Bf0ppezVUgHbb58b36ZMqgKxBrnQ5gDkbAWqmtQLckkHhmSlQMjYs1C1D1zFQLUyOfVia+7ytTh+JptYVlVq7EihPyukJL4x9oLyB/fZIDxnb2cwbdTku2K4J9HT8N1SHFgAHS1PZPH0PH03svXfMMNi2j47GtRdu6b1YSMIpaVPsvz9fO+jb+46l/slPa7RZdWV5qreHIXGl9VkCY8rkc1tsGt6DeMeBzvSaXBrytbJhzUb0uxG5titDfi1gA4Mt781Creh+y46srgfYPofssmKuX1Cp5ZW5HIqitM7JnxGHMUCqq1UCvn62JJNrHADlfI8d2WWTJH8U9wAup/EWkT4en/RNX/bu2RIN5KgG6r8SBPpGH0Gv4T/x3Kfx/ceOpXlBJAAqSQAPW+ldLwvhYKNCfZDVJ56iTdJ6Xh2MwkIO+lPJju/8Al4ed3iZTDgxGoIVaFgN6f43tIurfsO8jWMlWQeGGBG1OJ/dabOyRxk7qpyH535nyG95LIAwVRQD67Axj5Kv5RU+pubdhSAZsvxHzZ9q+fG1OEqIaeRU++07EkSeG67U25W1DIwLZ72hShljRiORytRw8TNhQBuSflaYTWQ12Fq2Dl1YcjZhmPSt4AF/RcjfI1+Vl4STtT+XK0921OW86WbgkIB/xwvBFMaRGV5uv1W/IiyaYm3I7T79vfYDk9pHCpPqbUlQSeE/5VrTiTbIUO6VD4ZeN91qp9LLdFJKkU5GxsFK004JyJUavMjKtrmJw8rBWVRTn5XfZeou5gr2jTIA3s1zuGLw6g+Imak2oph9RbPPyuWMhiXD1ViSued2StPBGxMeFtAdFI+s2NpIVga13z87smH6cZUDanUEA5G4Y/AiLDOwbURxO/pZcGbkroh03EQJDpkhLE7HT9hsxZ0XuQGM8qVsCGWR8Mo1UyoNIztTwODCZudRPDci6R6FZgxEzZqTl+YZWar1A1FM96GyHHaQALQ5YJoquwDVr2j9LfT3E19gjqRDRfhsx5gZ3U9OpqbZ/KzmfEwGq1UHnYBdjIW3JuE3ZSKpCjGCpC6rOSQwOsmfbtaHFLQmvGyfHDHNyRcso1Fvg6u0xC6APMm1qOZNJqRShvn8cqswVDWzfEkDUXVpPvusd1rXIkoLrBuMGElkbw9TMSfSyVwGhA+hVOmornW2CqIQVyY8aXsk7iLQz+zmOZNpy9g5MmxZPayIwFNhys5MTg5VB8GgHtCm/obQdZbLibcLyiMK9KIKLQb1vR3MuxqAPiSYMmCCoFX6bEV4kDS10Z/bf9t/4jdo6ozmPDA6qDGwnyqQRU+7LK6s/tv8Atv8AxG5bjtlYaBvS2ZepYEpXUMVDSm9dXDzvrhg6liYjhkh0Rk1Mkoo1fLjfKOhyLF1jprtsuMw5PprF9uxXX4GYqCPXjddiqdkt601SsqvUOiLHh3VyHNKhvystTW+dMPCL518+NPPzvqHUsUrwHSwOre+aY4qWelMzab/G1RXZ5NZErxlJOVbkpobY01Jt2ura+csSeTheRSMpYcCM7ZOTXJ2J7QKWQDYNDZcUrA6a+htoaSaH/BvRTM8rxg8EOuoZMN+FR6c7Lw8taEH/AEItMicZeVuwyaZCOG9gx0/p+PXGwAkjWoAb152eL5/gcV9HlWQGmdHHNed3uKTWoYEZ7X3bG5yVPVHLuw4uxw3tMrw5C9UE04X0ETKMbhZTjs1auO1i73rNZ4b3r5XEm46q2TG1pci1Qf2T9lttnten2T6H7LxiuaVIBpTIXqqtaGllYoQA1hVtFAaNwysFgcmGV8rLIJaYOgVuGWV1TrsSfScOQSR4T6uH39q8K8+F2MUkyIztJ6jg2kxmFiFaSIcqVB79+WVpuL8R46hPRsBVRNINMaZqOBpnRfIfXanicZGIzQ+1zvBKq9i7LSJF5eZpsTxtFx1HahPs8OHmbhJtIossDar4hSD2rVz+gtNxTPI5CgtXPK1EhtOhPaYFmrkFHCp5AZmxleOEeGzaianVtmf/ANbkON4WLPS+dK0HM8rg5qxAUJT/APmxWkkMgYnNTlTYeluvKHlod3XO8EikJxB8OP3k7+ps4w/RlK12FMrGwkhw89NwaCtnFqOUZQy6qD8w863jCfIKUHvtWwS6nH1/K02VfExDKtdgMhavCPo0dTQHKv8AKOJPM8hzvAG0XUtfVT5EH9Rawsf4Yp93f0tMww1F2A7Xz9Da1ggZZETmdJ9LZGJ4IeHNFX78Rb3lv3Xc9SrGAaUpdb+jlJnbcRdv+R694/ZalbVSzeClRXID5X1fb/i2iO7lIKVYvbCrnaP1WSKSIqiCvPjZzsmjSuVbQ8UV0t+YHe7yeCMVkU8Li0eAJqKMq7m0ydTNUCYnckGxaMFBLb8jeIJmrpFa3Pk2PxpjMEjw1F2LBYtO0Emp53XVP4mimZNPfZTo8B7sryk4mkXHcVtto9Q5XX4uqOgoaEAZW/huqFyQ+3PldVuxZLizMT05yNbOzDkLTFwq68gxpzFmzYxi9FckeVqsQhbNTnTuvfjJjW0IMuDgaFnL6XGyU/W0dFVq1NDwvoUqYMQhWKjK6bh8VHgp5OxZFJyJ9bScUmgxldjGGifUCFc+gtUOtWzDJ5bXZulYrC4lvFLRR0yEQpU+dy6pD9KmLqNgBRaZ2stvFp2bmrpoqzM7EVa4RlGl/EqRxpatJgGjhLMp1HLT+tpwwdKGpH5q/pcqa1GUomzRwHujYgflO/zsafxI6BhTiK2SwVRkw997IzYmgJU0G95VJ5waxA6sxOEwzGmeNgGWW2o7cbp8n9ST9t/4jd36+mHhweFFPxGxkNCeQB1Uujyf1JP23/iNruYZSA9gyRjMKRkfpEP8YvoSRai3eCc8t7oHTxG2PwQkyQ4mAOeSmQVPyvpitDh5z4dAgZs2GekHeztq0wTeUJPUi2HwqBTQu9M+HM3T8QKORUN52u9a6h/eEmiMUjStObE7t+60STDlNHbpooBzPceZ8+dzm1eCsE0sgbgDLncKi3XNTY53tB2Y3DlfjKDkAPW/McrHsik60t8HUMvKxQLdjOnO8Ae10FyLUNedx1LSpF41KU4cLARRhlrS+idCkrBR+7uy/lFNr5lhzQ+l3HpOJNaKwBOVDsTwB5V4HndNqXGaF3I8olzk0gmhtvWTcI2SVCaEMMiDup5H9Ody4X6KycTJGQkUtsm5VpcTQ3gEDebXrVuFc7ISVaXuqin0P2Xh4XAnI+h+yyjCX4lQK0rQfZfjp5CxUUnSa26mbZn3Xx3Z0UO0Sg0gZHM2FipmXqGEFczHItQM23IXVXJa8Bud7IckntGVhdRw0kk2FlVahcq6a0JYZ6uFieho6hqIkS91KnMZCtaZmgGVNhaTNGJCz17a9x/lXOg9bUcTIVpmQCKeZpdexeJrGVAIzz8755MpEGM2rxD+d41/y5n6/wBLbnw7POxOwoFHOw42q1dxll51yPut3E4gu1BcxzXVIq5KebHM+4bCwlVpZAw3rvyAuRAp3EgXJZAqmgzIoLwSRrI4C/mJJ5CzHloK2CkhCEU01NK8SLm9SAOPLyvGHkmc7ZCyI2Lho2+9mvrbMKaUrxFxjbVJXfa8YsuEiCxqvHScvU5n9LUOnVSQkUqpy9RuLTcPLomKn7wGnz8vqtUwwpKR+buHv3t46oVlglISRJgurUNLKPvKRmPUbi3otLRFK1CuQpG+k0K/UaXBAVaNPPX/ALH78rchUIlBxJJ9Sb64L8yEngjpKV2cfXaPjFD6gRpr7rWXOmpG9o2LkZhoYVHHndJYJxYzDHHGoLozcuVuPiGUCkYVfrNydcTIq6BRafVcBg5KVZjX6rWpDYEyWUiQSgU0sDS3psZ9IYscieFtYqFowde/lYZoaXNt6Dj5b33oP81L9DFqUsdhZaxx1yoMrFAH8IBocs/hg+yStSx5A3kmN+igBHLH04+d6qvIANJyqR5WkSsdbClvbSQtJsNxXWJcRGqFEBX7wGdpGqtSbLJhYZjSeNxqNOW1o5N6jKNEIg9QUNPPldkwOEx7x/SFmJ5rqzNosSVIIGX22vwYiaCJhGQn2+68mrzYJe1Hpp5lyYmo3qbT3xT1pq34XHTLiGOee9qMHT8KATNiFDU2HCwo8mDCBIcJNMNSioFSfKyIcJPiUDItF5nytR/vHCYWMLExYmoIIy9bGwvUXhTQNJUVy9bpw28ZsW34Ej4g6XPB0yGeRlI+m4ZQOIJLZ3zyT+pJ+2/8RvpfxLjoT0fDxVLSSY3DsTXJdOo8/cKXzSX+rJ+2/wDEblupJ40Lbd1klhyfpOHpv40VPXWLtvUsZMseqvax0u35f5cufO6hAaTwnlNF/GL6N07SzzK1CKV7qFaDeoNiFu1oO3VOtCpQFfGUE1BFfqrcsbPqNBsLdkSJcQ7DgW0jgoPK0ub2jci6pg7G2B7VvMLYfIi1Az0mVscRZk3sj0sdKVtkIzxGXK/Dal6WBPkL8DW8A1a7HhbkpHYAKb/9puO944INgYJhdTtazg30SLyORz/xndeQhXBtSrodSpOkkZcvKwY6RgZTJr1bgKpP5iK5/IizgSLQemYhTGEpnvXnXjazrNL9HZdwRx7sakPDPO8C1NKWzrNKW5qI8rqSNpSttMONzU87x21G8Y9UEXFqqD6H7LyhF6WoG9D9lkIhqQtBTgLa1kSZcL1akedLxFpWp9b4Vg6ApcQurhTztGx+MxS4uAQtIgZXqqVOqjDcAWbIY9fbnaX1cOs2FKA+xJqOfbmKZA0z87M/iCHyMxmIKMoLamUEnjn68rQJyVJp3V+s2bNITGWBJzApT6zaeSACeV8t2dKwMAsmZBAFfnbYdt1FfW/TTA5DOxyzHc2UgNjrMznM1PlterG3lbFy1vzs0CwxPDizbublXIf63vjM77UFia67j5WSjJTbPnYaCKEHdHcEp4mW1xgfUCoyy2t1TGpSjVJNGy2ptahFSP8AFVFOThqBqcRaxDKHWKQHuBMbeTA2mwI0ratOlRKZK8zo0hR78zZuFQhgKe1I0n7v33SKdistULyTFTSpoVryssBgoqKECh/fa18LQIZO5RtUHiT6G2+s0+mPpWgvuhHs45S/KhJNpHUUKx1GfcK2qnIk/VaT1KpiqOYtpaGjqGr7AzpkLyRXdO1s7YVSsQ070FtDEsnawtW0tQsTsYrAHXacoolbVcYyTLqG/KwFH4e9wlrgqtDFfLTq0qd7NKqgVczXjY8NDwDWWZSeKg+d5MVmGd4HWmQpbUULOWlNKE1pzuEnc6ipcEb0+y1SPSAFEYC8yd/ddFXYugk4ySNxTQo9BneQMjqECHLM2qvHh3Y1UC2l8CIEAAHnxtJtGsG8fQaaB6W82JZstFABcvwCCxFafM3BnDbClfqudjYYGsjg5GlbKQqpBlWppvX9LhpDUBIAHHjfpUTh3Zb1vJ0GiP4eo1pThS9heVhoUVHktbaZfDpt6cbJgnkg2ICm3i1YGJfXMLNDhYZJEABxUIUneuZNPcLp839WT9t/4jd4+IJGlwMTNMrg4mCigZ1qfllW6PP/AFpf23+203dSkND0NPHhrt4sVfTWLvuGePxJFBJBOR2yuh4ehxEFdvGir6eIt9DjWKOZ6rpTXkbG26NMB6zHgkeM4cEMwo6mtPWvO6zKoBNM7suP0UZt6k6fIcrq0hztNzUtDQaIytsRajqOQuRvWbUABtS0GYPO+rIbC2o71xpa8BpbCM8dr8LxjlflvAJKue9LJUau1vcbbGdu0qvmNjajDLKUYBuOxs/C5sAwqBwsMnxUpvTMeRt3DTqhFcuBvGLf0Vh4jjkKj01bXag2Yul9MmjgLa3VdfsEnIiux5HmLtUUokAIKnzBqL7Pt5KqOfdj2F5arcYg8rGZs7luL6jnocreUuKkVob0nO8AkTlbbjI+h+y5E8LxhkfQ/ZeRiuQygHM8LbefMgXB4CijkQLUemQIz1ahyOV8jwrOhCfnvW0rqWLkw+IwzBqVWQNXlVbtPUo1jlTSNOVcrpHxBk2G9JftW0k+ULGWJImQZcxlqrt7JqNwLRsVVG0bU3uOFmkSRaE+nC/YljJIzG4qJVsFuV+uNkBt7W43tkxK5DO4X6tDeAHRSEmgyNCQbUI1iLRFRqPtSE7DL2fnabE6owrxtSV10BqqAeBI3/m5+lq1kexXhkaaqKdCKPbz1MDkRGOVfvHhtaph6BWrkAwp5AAUpaVg5IGYoram0A14Ur9edq0Sp94kD0rW6Qj2Tk8i3gOqNDIr6jqU0Ir9drxc40NOp1Dj5XWsLh43ViRua572u4VMPhsw7j+X7pN9cL7OaaV+5BxptG6lVUUZ5sKWuyMJWJtF6oPwVP5WB+u3lowR1QQEVEGXAWlyhyzHMDgLUUbxFV60FMhbqmM7jO0lHkMsFfIrWxAvac+N2HFRAoSBQi0NUBDZ0Oq4yjRVZQ2KgmmQvFAZwCPrtxiRlc4lCjUc7CQBWRBFGTT0zrcDI4FRw3sbxz2sFNK87k+pzU5VFbzi7wKR1sak8eNjyMurM27E0srFBSxMYGjlFaVFNsxe4jYFPwYIY1d5QdQqF2tlyhpo2POxTOzr3LrNKDytwO5FStCNhZlXSAaQbYeuk091yqzGp2vxNGzFMsrmMiIZ3pUW+qVFjqwRq5mu1nQHxgRseHnZQWInWYyMNG3/AKmEH67qs/8AVk/bb7buXXU04KOrGoxMOWW9Tv7uV06f+tJ+2322kgw0NwxAxEBPCaL/AJi30acCVnyyrlwvnEB0zwnlLF/GLvc+IZnJpTM5DOvusILV0C4lG06aahQkmtNPrW6jLiVDexX/ADf6WtdRxEjUDZKa9o5DL6zv5XWnOpza6sroghcTGd0I99bIIGmq8bSSc7UY2YhabEZ3mgWekWqg2waDzsiVhQCxV7gbARu/DK92vDZFHRvZQ2rYi2UtgZA47Nxe+GDRlOXK5vE1SRnzvI2plYMH4eZvFI0q2qlVIqDld26TEY4WqKd36bC6fhY0qDXuGd3nBMPCX+bP3m67HzE3PiGHMCyIlXLVtxtvwi2Qv2mhF+kcbNkA1HTcAb0rS4Ct4xKtuH2T6G2SLnqAQ15H7LFAIT4TCy4QyQzqdKg6eO1tdGihkRjtIor6i68SVANdxwtc6JXxZT/3d885Jp46LQVPUa6ijyThVzOna6Z8TRNE+GDCh0yfal3ibErhcersKgLt77p/xhi1xuLhlUUBVxT/AGbmq+h7jZ+oVmAbt5XB7diyiPrbDXLofsbJvL03lqxzb243KyA2/X69vAJVqgPK30743Uccx+0P8UsddiLlC+hwbJhU6POonCsaVBA/zcPndxWdEAUqTTe+dP8AgymmWeoehz+q7hh5DPEklcyM/Ub28WLJFiw+I1OBUqOVrGbG6tGSpFN7U1mc0Os148rrCRKSLPgghejEAHKptR6t0mJekTy1BZRqBGxtAhe7AGlxXTMRhwdo2YZ1yu/RF4a9SuYaHThIXrqqgPpcqWb0BMPN08B9TydwCjhS4yRUalCPKytEM3lifNTwm87rbEK7J7VSDS7Lil0RnLe63Gh+kig1eVw3NSsNCaCrZoD5C1KOFH37OS2NMNDbaTvQWysupsq2qfELyKUsMcfhAUNWBt7F4eMgHXU7UGXytOWUmVKgGhOR2tQihGRdjvWvADldU7EaoxcBhIwNbEOcx3fbaDjk0SkVqAd7s0+HgGqTXsvEb+V1rEUmOpNq5CxuUl0GGWyUQ1Co4b3F3bhe/wBFanflcK6rg8lKJxy0yIobhqaRiPd5C8MbVvaMvG8qMeK6QKNUj7L0M0ZyNyVRTe21Z0LVQkc6WbANdXkWbAcis2HY+ffT9bp84/Hl/wB4/wBt2XH1OCkbaksH/NW67iB+PN/vH+25zHiQhTXIg1Be5Tn5MPruxT4tcNqAOpySB/KOfrdcSokjPKSP+MWs9Ri0T6iDnqY1+dbmOhMldmGeZsFhQE2awIrzB/StbBlYcON5ahY2ozrvZ/iA9ooONF2sF8gBcAxGds0BBjNUVvI1KrXmbYRq5W8rVAz2NgxGX2rbt+QBrYIPb52DDwFkxnncUApVrcUgClQQfdSwEfFfu3BcK8hNKAg5jImn5qVvVqvly8/Sy8PIolrUAgGp2ysBDMHgC4BBalCWr2n0oaDgTvwtXhV8OkbgkhTXwyRUp/LnnlmBaSrARRltUpWdQneTXUNOtvrNNr8xP0WFGCs4DJqfLwl1VUVHs0HbWvKypUA6DgnWcKVYEMMjbzxFSRvdZw/Uvo51mMGI6qiul1dPaGeW1DXOozuz4WSOddZYoCARsd/MVBv0drdU0l2cm5Bxz0QigMsgBBpc58GY6ihA4VtcwsGlBIrK4J99gdUlkaTSxy4U5XcjyyIRUobySjKcqZH7LNZVemVLZkTI+h+y1GKjJC8YUsRnTL3Wu9DGeJP/AHY/W03FYGWJlrUii52u9JiEQlAOqqgE3ySWH6F4iL1FGfFBQK9vy87qPxAUrhlUez4vd+Y9l3Dq7lJ9K8aV8/K6x8UoqfQwKatMmoDhklzqtoZfIrwNIl99sNbozi9DbGq06G7I3lyN5YGMuVxuV4x69rfhcqXgGL7V5sbwe1cm3smHH/EjB4pkfNT+61vok4ZWhJ2NV+VokJo1Ds2R99zgdsLiR5HLzH+MrKYDomHwjuNS1J5Cy/AnGYAPlx+Vh4KRyyukuhSAw8wRao80eTas+FON2VEZWPK2IiVdcbKDxpkbMGIdInMZKFkINDwtOXGzYjtaSlBQV4+V4s+lHV1zoR/rbqQgo/CmKME1MjV6GvnfXo8HgSjSeEpNKkkcb4V0yfwFbf2txdixvxDimwiYZGKDiw9o++zf4ibkHKWCOP6kfHni8KMKWOW9Ked1jDznDYsShFauoUO2dqcGFfHuYojVqVLedo06tFLo+8rafeMjaz5Yf+i22kk0Pswkcu593lajh8EuIiLIypTavG02CMSzCNiI/wAzHYC1uf6OsTYeEs2x8UZLYitbM3WgG+Gw2HeHxJDuQxXPhcxLAraVJlU+6nraeWq4QZgHfc5crUfo8mgsqLpGZbLK2uk6wC/ILjTLIhCBVByoOPrYKYdogoNDWz1Zq0Xu522RIzVoVWvEZXKUmyicUCy4bWdwKXHR4KhQdRNmSii0GXPzsAMoJ58LQOpMFtt794WVdr3UBnUW2dTUzvUw+o8i6RnS9V9wB5ClyKHTSt+0FYmKUGZBkO1eS/vshSsFxa4doGjndiWKHTGRVSjahqZgw34Ae+66/T45pCRjIIvFdiBIstRU81VlJ+VqLeEh7/xTvU5L8tz7/lYuKxCTxeGQlFIZaKBoZcwVoK/vucpXqVUUOumEhdVhw8DGIgeKxkYs6Z685NOZzAAAts4vxpWeSKF3eoZqNnXhQNT6rYLKCoP3+753ohAfWPlyPOz+PuSdoLeCEAE4dFpn2vIPnVjW0HGwwIQ66wa+ySGHzoCPrteabxENTtv++6zjJNbgA1peaS8gTYIRuSd7jpuQ+u/A3hiPsg3laX43GwEeRzsbIjANM+Z9PW2oo6so5199B9lurGJRkdJOwG9P5rRhCY1rEp1vqoW9mtQTllnQcs7lwBrRTnq8/dYD+PH2ljTbfIi5/S5StDwFFoaU92xsBFELGEVmZnG48/TjY8jgk0FKmnuspZYZo17zUDmFb32DlLKwOQ0kk8gP1pYCKGCmRCW2WV1Va81r3elqH/0y7PIZFmJCRBd3I2Jz3Gx2FpglE34UagsApjqMsqVPuGdLVGZpnBw8sbtFUPGeOYrQ8DllYAPYd4jSJVlQzgy6mPiLFKO3Sdsjsc6XaeiTlDPEe6gWJUOYUxgHWpOfcGoa8rqUZLPh0MkcT0rPB9417qDkdq+VrPTscGxQIoFOo1OTateS+hCt8rrtS4zT9xJq4sveEeahiC6fvWn4uV5ZDwplajFihHHqYqW/KLTZpFncALo1G/W6OFLIPqYDetwLnuryNqbYZIFJYE5ZedpciEqTwzsUEsD/AA9M8asJVaoBAPpYP0b6H4qtpBYAUHC1OXqbJKugExaQMxxpvYMo8WOSZh7e2edL5ZyTTSKwtPOgnN0iTEyjEKPEpSi+YvnvxXhsRC2HeeMxl3n7T5BL7B03ErhQpk9mtQRwy43SP7SCWw/TSx1MZcUxPIMkdBY3IpbYyk/qV0cxjzib1sVrJg9lx5WO183SL9mKb9cbnuLBjL28vRZMbc7hcheQCB3uTXrC8OwsmMBpZ2Ij1xrKu4FbAtVwh1xafyn7bMcmYu9GkOIw7IBVoqf7DZg+41F2GOBtNQV253T+iT/Q+pBaVWRHQjnlqX7Dd7i+izo2pjE29Bx5XWOUSlqNR4cpXxCQD7JF7OBGmkd2W/G3PG0DQSSv2XseBd1eUuoVNgTm1tXgQZwQXwdq1Y2UyoE2Fdqm0mF51qq5gMcuIs5pJBHRhlx53rwZrIp4DFHp8msKxVgQSuVMrQXbVOH3rLXu8242esq6DSp+y0ljrWp4n9bMnhIaC1LXjPh/Fw4tAfDJkiMy6T20HC5YbpbYvDSusixOgzRsrJ6RjDLj4EcGcLAyAMcxXlcOpKsIIRHR9RDgnbypbtUrJNu6EQYFonXUw4kkZ2SIkGpWxOkU1duYY/lpah03AS9XxMeFjPhihdpG5Del3Cfp/Tfh9B4miagFFIBctxJPK0SvwBzSxqzmUa4hAWCv6kUytj6RIe01pWt2bq/VvpoHhqsSr9xeV10RvJVwpuckloWjpkGlDSHM20YlX152aqajXlvYcjjXTha0OmNMFB52Szh1FBsLZWJpmqq1pbx8UDNRQW+UbDJI4IztOxQbxAGfTEoOXnWuQ862pxmo9na0rqLU01zBU19Kf6XOWg8GYYUI1DMeeZsefDo6EaASQaU0g+7OxRiDGFUHtIyrw53k+LaMLTMttzuTK0SjEIADKKgDcVPpZqRxH7gtOwpZ+451FLVBaJsjLUTcZJhk1LQE6ScmI24b3VmNSTztX6t2yggIAwpkO6o8+VLRSbpnyZGja/C/XtkJFrfw0epgaEjavLzz5W0AWNAKk8LUWTwtI9lRTUa6j+wth4DRqho2RVFKnOpBLD9PS4MFBcVEQB4fe9beppLGigHZic25U5Xi7trKmm5+6lOArubQcgdNFBSuVTU0oOYttIlJPaaKMid/lb4BIVkBkDGrkDenIfpcnV1BY6k1UUaRqenIip3sGA4VJdX05Z1PBR52+raJHy1amNP2SMz7trfGHdo5HCFV0DtJzNG4jzsdEDISrBcn9ymlSPS8YNwrOqlewSaT4L0zH8tDyuUTYZJo2Y6JY2DMAhGpmIrUeVamhsWOhGsSiYxBiukENU7Vy91qOHlkhMcjxxsXZEkNKEajTfjwyvAJBP8A3fZG5YOzSyyVFO45KaZmmX7OVqGCmErOyRBfxH7qCupR2OeX3qc7RZ2kUMWkeQriS0aq2qo1001zyPLhatFPDDinj0OS6CSQr9zT7I87yAy74DGRSYQo6DxI+0kelQfeLIgFZA7LVQbr2CkLSLShTELrDcVkGZQ/5Tla/h1ZnVBXO/T2Z8or2wck40/UsU/h4hMjSgyptdfmTwVarAih2tWZGiw0la1U7Da0+aKMQrIqs3adVRltdyMTIk8Z408Qio7q7eQtvFpPhjqYdtSKVyy4gXDB49Y2DeGMqE18r3qePGKlUUKVzy29L4rTXudEeXL2FCNymFDaNev73I1yumfH3iHAYAyCh+kTU55xL+67IAR4OHinJVjrZeAA5XWvjyaOTAYBUqwSeXvO5/DGXut93/jYY/JHN8NufMWzIMzbkB77yYZ3y/xL9g9zXa4XqmhtQkr9em8sgNFzFwFyFkDJMKi4cBbgto2QIyzsG1Cw9LBs3AQyYibwowCzAkVOkZeZsLULCPGEGMil4IyO3pXP6q31NMB44DREHkPI7G+dt8O49mLM+GzFKeK36R30bB4bCnp2EH94QxYtI1SaJ2aNSVy7ZCoQ1A53eHdkp6KgebDNg8RHDiaKZBrUb6lrSuXnle4nAOp1w63VRU7kC2fiDC4+BcPjirNDEPBaTUsiUdqqQykimqo342p9I6lLiImQOqsF5ZOv77Ka5OLM4PgpJ35QkYQSh3oAeNbJ0pICpqWIzuCVGJkH5q7etyYmMVXhvXe2FlY46pFEcqVBH1WgHKMWrSM8uGfUchtac6FEXzWtiWRtsVumztBjMPLXOg32y22u/wCBx2DxWNxEmJiQkhQAePmAb5xh2hSbDsATlmPO1sTKcQzGoyFOYukdCU1ZaXx2AwPWkpVYvAIIXYGtbj1XqXSerJUK0ejUAfvMafZdL6jPqxS1JNE+dswyByDQ6TuRwsSecAUFj2HFiVgWr2qcwd/lYr4mVW0R5Amgsr6OJatG+5zrwsFm8GdCT7Dip53Nx0LRd2G4eBmNXZfMbZ2xi8OqzJ2eGDXPndz6Fh+n4ovJPNGodstRoQbB699BbHwQwkuqVD0zrypdOKonz/KqZVon0FgCPWyAyZ6hZEuAWORqo4U5rVSKWEcOqk6iTau0MvyHCIpa6QO3P1N13qJ1BCcqq6kciGGXytYlaOCKR/yqW3pWnD33RYsf40ThqAmaRwOQah+2+eci8I0zZT7NjTOFVSakK6sRsSoOYB4ZXJmLWI34pMY3I+vlcCzLGIcRhmWNRHJrj8RaN91tt13tiXqMmHoHjAyrkwP6b2oY7ErHmqZGEKCPa9rtC8rrkq6IgPaqHJLe0GreJ0gfF4k4lw1KADKw+N6bjbgJX6/XlkwRCBmeO3n7uXrZdEKKACamoThXnXkLYhDlQANzWvpzs6koI8qcQFHMt+gtGxkNHU5Gw0HuIByHJeZ4W9RG7SjLu1KVPqR9lySI/iEGSrH6vI8B9duRxSajr0rqWgH329ScxTnlahBkUl8vETtOhe0Ur78yfqtxVEJSlAWqC4IZY+ZrsWPE3i6UXIxZVVz3bflBANacbFmRooypyRiNOe7NvQVyXyvGJljGZGTWwIUFiSdefO4oEUScNIWldqMc/kbdAMUbDVUaBnyPC4hV+jMdNaEr65/vvGJQ+HE9ZBQSVjULsw31HkOVn9uAMbN4sxYnTU5ImWotzpuONo1e4ECusroyqA4yofK1iVqzBKMzPEAw3QCpzP13gG+AkJlkw76pJEZoxlQVzqg5E0zsvCyQO7uwZJFeFJDl3tlRRw013sGbw4JNan8Rk0Qp91AN9uFkYTExyeL9JEapG6mvAnIgnz2vGF7XKGgYIqDtZwo+/rAYLy7KfO7709EilPi5VqF4H122ukHQxikRzQF5V5OG5eVQCLszytpWQkksoC1NTQitf3X2/a6yOfeV0EYjEFPEjWQkMdrEOJlaPQW7KHL3WIczWyIY/EDCnA/ZfXZCqMGFnwqI8sQAlzjBzHplbOLRwsZffnS1OQCsQnbxIgKLGjElGpvaPi5JVkUPWmdATXLz875mqKxslVvpEax7lafPlaR8d4ktgOn4bwkjEMrkke0WMf3rWMLHNicXGqaYiuYY5afM2hfGmHZcBh5XfU5xjr5mkXtehsbnwY6+SOdRe2Lm/cPS24/aHrcydLsPM3zrQowe8ubClwsDDm4vL0bXGyA25i4XKt4A6Mrbk3vRvcnTVZAMWf03EfRcXHLSunUCNqgim9hGNhwvY6g2MhL+vVsK4zEye5W//Zb04zBN96Y+QjUfa91iHupnZEeqOSpzA287a3/9f4FoXcV1B1wMuGh8WOGRlaYNJXWc9AKgBFGROxJpvYvT8a0Lr4cy6hyP1Z2i46cysVQ1U0rTy2tPAI5ix3qPGVKjtQ6dipJoMTCniRzIr6l+6xHcp5UNjYiR8PK4mj7jztj+znqmLlxq4QsXQIxcH/ogMmPmr0APnS+u4vpWFxoq8aMedKNfTCpLwcu7PhLObOMYkkRNVdNcx52DIzOi6s6LQX0fq/ws8sNcM1Sv3TxHrdKx/TsRgIwJk0E7bkfVZcWGE4vQzDx1hRva8uPut1ta5kHPyztnBytDpKlTTnsK2rsj4nUwkU0Art9V5Ak6Ykis2JPicFAFeFvLCVq0bIVG613sRSBiJNR1ZU8rmiiHu512NizM1kqwJOkGpNMrAlUkMNxStkSyyMMqZHblY8jHOpFcsrDY8BxX8KMCpPGnC5rIqFJFkJbc+Xlba0YCmZPC5uU0LRe/Vmx2p6WTCuesYiYCNpOGTMPqrZDYWJsO0ryMWI2HP0uttiX0qqlRpP5bdOMxLkBqZ5VUfbZvzkFeMCR8QO0GBOg01ui58RWpH1Z+V0XUAxINK8PW7Z8SzyyxYdWNANfbtU5dxum3yT+TOiOiHzO1KC8jBox9M7ZsqL+m3maf9loEOGJeVQrORUKqkcNI4fbY0xQ500le0Z199soxCnKukil5Ke45752DDN4L8b0W4Db9xv1+vGFOBF0KDU6mpl97/wDyLKdI11BwdOrVXUCWPpwAtqGTQimmdFBUbjVxqc8uVuAFJ9g54lius8qbBQLmxh91XFxKATHWvbkGNOPp52y5pEwJpIT4agMGJ+RoCR8rfdVbVSjsQQScgPKozpzuCxvH4IC6iXGsqu2RzA4D9LBhiSFmMWQWJoxtTI19knh+twk7AkZ/EcszJXPKuWdlx4VcXDGH1INbSU5Ak9ufDkd7All1GRlOY1BKD2e7Sii8EenVYQI6UUjU/wC0dvkBbc+lcIoj2Lf63uJJVgprlHFqbmxy+qxcQwVCi7eISf8AZrleAEwSNFGKdxckgflp+lbeOKnkw5NFWTXoqB5jOmdswqfCFACyntr572WsUoidQ66mLEGlKV2vBBydYNRrmhWo4agfIXGOrGJJKfiEu4pQduwpzt+OOSFvEkZc0VaDPu9fO2lKTGMSo9ZDpGk5rXzsGLYjxy4eHQWClB4ZOVBHQ/v912rCp9JwEM4FDQxkVrQxkrT3gAjyusMUhw4jjAZRGEA4ju0E15gHO7B0TEfRoZY3oyeJqU8gUVWr56gb6ft3U0vKIbytegQsesE7UtUjSNYddKkA6vlbr43DDCsscKkke1x3tNgxxijZMiJAajlfoLBy5aGNMsYRVQCQqKAZlssyTbM0OJndFEJLDhT2qb73ZendKknkiV6R9gfUDnT9LUJ4psNi4WeQFELBTltTY3Pin5H506RVB48/jTRgYcKqxMGXcjz4G618bQRRdKwLCVppDiDqf7o/CPaPO+l4edPo7LPASuKxDEFRkyA5krwupf2knBjoWBiw4X8PqDCoFDQwORXjlab2IMO3K5pHFF9oetzxApIfncF9oetkYkZg3yLQ6XqDHMXC5C8NgY1eV+vBkbk1kBl+vL2wYmLnqtq9sgCFegtwOLErcq2bAF6rizPwYn1scMbkWvWAdVww5G5hudbHW307rJjpP9mJ/wCItOdGweIDcqaoytffffnjK+yaXxv+yXBP9L6hjiPw4oUwy5e1I7a2AP8AKoWvrfbvGR8itLtC0jj+4f5/sChNQrSxcZ07C4yMxzKrAjjv7rUDpruRS25AHOriLrbOe6OZ9U+D5MOPEwp8RBmU43Wo8OytpLMtPaU1HzvtjMwBKivlaNP0jD9UD+LH4bcGGTWaRWO6+8nJMLJGjSs6ggsQBTlytWilw+IgZBAoLbNnUWRj/h7E9M1IIzMmZDgVA/a5XWDiZEYKpGXEZH0tXaLqp6D+IwrYVyrile4fpac4DGtqUupiNZLUHHO09iaj19/paMrDQf0ooFBS40XVUaq86372jkRleSVQjSRtZQA+PpZ0lpXVKkZindXmK0r6X7EYCTCFSn4nGq931WP9IZ2UZBlHbyJtSw/VfoKESRpIzGtSM1t8C5Kl17DzYvCxsqZozVNKb0NPfS6GY2/K3+y37r69LjBio22VC1DQA0DeXrdQxUKwRmmoIyMFFeyg4N7LHLMVIvk3Vxd62Xg7RWPo3h08UkZjtWhanrmB9Zt2RlH4YBVVGX7zzPOzZIvDVdPhg6sszmPfXP321MgYHudsia5EAjhUcDcbHE2NtJYeR+q4b537YX4WyAyBvRcTc7JjDckXUQLjb+HCs4B2/wAZXjChUuikaRqzPAV/NnmRcpHBcRA0bUM6cf3nhbEr6EYhdL10+gG1P087HwrH6ShAZ6nOu+qhzraUNYqSpJGHYHMKUULuNRWlRz3NbIwTvAJDIxZY49TE76vyj3WNiDA0cjajGWddeRNJEA7acvSylaKOIRMplMoLELkCMtTc6Z5De1MQLPJIjvXWA0ioKgABfZJ4nMZm2ISoMlUCuq62A2qR+luUCIzJIxZi1WIyCx/cA4CtPW4w1WKSc5koDTjlvYCMsH/CX2gagk704GxcVGkMaoMzqqx9f9LUKFnjdjSjPkfvV2sDHNVjlmHHy02UY1SwRqEUJzINKCm/rc61dmLsOwZhjyzNsx0AzGsPw22399k0gJhYK2llAJqKKK0AYHz5XjGStIscLMGainVl96lF99lYGSSJyoj8TQlSa56jwFs4qRllK6tAC9lPvGmZPDLhZmGjmjcGJNbTAKxG0b09puGkWDFljVQoooAm1GtKnZWp8wa2V0kBmnQkEAgfsaXct8wy1sSI+CugEaI4woO/fUA7cwTeYFWjxSip0mJlb+djpofXspdtt1OL9yc9GWcRoCdLaloQfeOFiGkcK51Zlao/KKkfM2+7rDoQCpHc/wC0fu/5R9dtytGy1JyCmiZ6iTsPSvG/TOU6rB0n8FBG5HaKu25ysLqXQMVJCTHiNTjMAjIny5Xa0wpMa7+yu3pclwhTbjzuPP3OXk0yj9PwOJQqMQfCdI9KKdq1zNdr5z/aRhp48LhZWC6PpWhnX2TIYmI99Bf0EcOzCjUI8xW+Tf2r4IYX4ewwTJf7xRtPmYpLTdmnBltmTe4j56X2h62XOKj0sZB3j1sl/aIvnjodzATeXJhQ3G1CZcheXl4Jt+vby8A0XK43t4xt7eVuVRZAeAuYUtco9LECzsEY2mjDKCvixKwP5WkANfdZSACU0i798L/AnU+u6ZXVsJhTQmeVSCy/9yhFWJ4E9vnfdenfAXw50+RZosBC0goVaUvOFPNVlZlHyyuySpLsFPlT9BdIpXqQ3N1pYi/UT+mdKwfR8HFgsJHoij+bsfadzuzMcyTZzUA2pc0Vzkykcjeoj/epb2kcTtu3Y2ItQzrcfC5Z87dkjZwwElK/VbaYai0LtXnZ5e4CBiXnpvNDruNQ5iyRhhlqYsRxvxgPO9zXkNCbNhPGRwrmrAgg+d8U6n0nE4HqH0bSe96RNTJgTtXmL7v4fhnM1Nh4rDwz6fFRXKkMpIzU8wbdZHhuPbOI4nBT4Ksc8bIa7kHTT1tHKnxBpPkKGvu/xxv6CmigxC6JoxIPMVut4r4OwE7CXDMYHBqBuv8Asm84orH7jyjma9PmdRpFWI2G9jYmARABqhgaEcvtu8Y/pXWML3aQ6r96Id1PTI/K6PivE8c69VTvqqDvlkfrstKikZcu0BnMb58+VPsvJI5moTn77d05AihqNhn61ubByBtmKD/XP7bQcYgXTqUn2gRTzsfEQNPFK0bMJVTSBUAHSctwczWlbJMbRsC1dxQU3/W5H8F3rx29DnnaTjcRoumUxqyuQpAcKNTDY8KMPL6rahKFhGoOgE18ztkbsmIhaaR2jycL3xoinP8A6UbFgRSoG1oPhqJK6SNZPMAfzUrUDyvjao6BMxJ7qUpS2RtbuJJ8Vgc6GhPnbXC3QrGxvbhuC7i5neyAibIw7aG1AVNKL5E8bHNv4f8AqLYMKEcepSJM9TVHM0Fu4ZQEooEUmolA3/maeFfMXDVRfxCCK6VZf5ss7cjgkCqZCojgbXXiQAffcxzGNNSsVEhYyHLtUsKadW1TZsirEsAEiJIu2r7yZBl8q5UrYB/9zNVCHiZkZjsVKDYg552azapHQwgyGDtFa6gGOVdt6G8AbxUZVFBdQO55RX8xFAPLKnnewFZB43dpRHGmntH092VsTxlXWPT3AJnwAC6QST51IFvKDFrDHTEsaoteLE5mwEC0VKh2bIl8+B05j3WNOOxRWukKB8rUCgp4bULLpJ4DS3b+lpc7aiSRxIFLJiCvp/xtboaqAVqGJrwp5XuFSOVm1hyAK9orahJhEhTtUuWzEZIypxZhnXyBpZACvI0iqaVFCakVoB9dqUHiRsCzvEBCNJrRVZyAd8mansi4RNAzuaKGUAMOQ5DyspMWk4c6Qwioy+Z01BAtQijhCqDRGukSK82xG5VUrXidzZwmAxMBVfZljSTPIMGow+uotJmnaWKBT2CVC0vBgoSun3tT3WqqgXE6qZO8bMK56qrQ+Xs266FYuEVfPnxvz9wkWhLAZbZU2FuLG50EV1Me3makiufLMm3Gw9PEYMDGoNTWlfJeZN+ojjPoCMfhp+yv2W4BcY/6afsr9lzvhsFHqXyr+2Ef8OQeWPh/ge+rXy3+1/8A8Mx/9ew/8L2rK7apnzLGPxBb0m/vuEP9S9ezHQqxqQVztm3q22RYYSF5e3lgY9fr9e3jHry9vbwDLmovLneMbF/UFlRCkkij3eR3H12NF7YsqP8Aqn0H2W6AfZHwz1MdZ6JgMaKVmw6FxykUaXHuYG12+Wf2S4wz9AngNT9FxkqLX8sirLQeQLG+p2CbI36l7frAtENI5C90i5X6zYvFeERpftNyv16zcY+Bl4Q+9svhQ3GzL9Z5tCvag+gL6MeQtp8IeG9qV+tluSE+hH3EsJIBRkJ87CxPSsHjRSbDo3mVz+d2G/WfqsH0PEmc5m+COls9UMkdd1ByPz/S0PqvwdPEWkw9GQLtswpz4G+w0HIXhRWBBAIO4pbfW8oKhuJ/Oz5jxczTSUZlXwxp7BT1pTjeYlBJFHIDQiiOPOna3vzv6LPROlltX0LDV5iJQc/QWHN8LdEn1asHGNQAOkstaGo2PA3vqp63kqr8f5PnXGRpHgpZWyeDwmiYMVIdpkTcZkUNSLrPVYZsPiZVmTwpopW1Bc1bMamBqcqGtOF9z+P/AIY6X074bxuJw8bpIpwwFZGZc8RGNjfF/iiRk+IOpgHIysKHMZwpWg4HzFw3KeUXg2VE3p9m8vx2sDGLvcjvcV3veN4xhsjD0DFj90VsfjZWGA1Z8cvnYZg7w1kSTRlUL2t7IJzBFnOKJHrppCsWHAnIfKxHCpDIHFRULlvSlkyxrKcOM9KoWpz2pW5jjSMkazOoC9xpsBUADjQEVs6KWWKOklJWCltQGZFcl242FhGGLaaKRe1TT3Z/XlZUscmGjFJC3cigtmQorttnWwAGbxsR4ZNFIYF/QcPWx5h48rKc6MqIo2A3ZjZmHi/D1KdJ1HXkDrNaVqc7YFYpZAKEqhIqBTM8aAG8EYxFHLt7JBA/yxmwZKAEFq1NV8v8C3sQ4OrKmwFOVa2NG2lwxGrTw/x9VsBhEUhRCqHQ5O5yvQ5lkBd9DjtBHEWdh54fFig8CNkaq1YAtXM8bYlMUDSwsmsqe1slyIqBlysGI+E+p+4Uyq9UHbzOqmQsmTDS4NkleYUI7O3Iilfu5elx+iJoRGY65q6SANK5VocwSLUMHqedYpiJUSIhVIBFajPPjllYMASyzhl8RtKsCupRWqtvTzoLt3S54+ovh2H4aidImY5VQDJj+zxtFZYZ8Mw0ldDSsM/ySaSPfXa2Ohlouo4VfuySk6ammcbAH1H220dV6oD0OqrhcUI1kSNZI49Sr56uJIz24cLHnw2IkOlY6hQxJpQD9kbAfWbufTSMMqYc96ez6nn8zY0mH8GJ+4k+JpHv4Hyv1lg4HPLP/9k=) | +| ![Trailer 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) 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) | ### Beat 15 — ? / Vorläufig diff --git a/output/cutter_clips/beat_00_compare.mp4 b/output/cutter_clips/beat_00_compare.mp4 index 33b2e45..5898a8f 100644 Binary files a/output/cutter_clips/beat_00_compare.mp4 and b/output/cutter_clips/beat_00_compare.mp4 differ diff --git a/output/cutter_clips/beat_05_compare.mp4 b/output/cutter_clips/beat_05_compare.mp4 index 32bb95e..d5f445a 100644 Binary files a/output/cutter_clips/beat_05_compare.mp4 and b/output/cutter_clips/beat_05_compare.mp4 differ diff --git a/output/cutter_clips/beat_14_compare.mp4 b/output/cutter_clips/beat_14_compare.mp4 index bbde4dc..81e371e 100644 Binary files a/output/cutter_clips/beat_14_compare.mp4 and b/output/cutter_clips/beat_14_compare.mp4 differ diff --git a/output/cutter_clips/beat_14_source.mp4 b/output/cutter_clips/beat_14_source.mp4 index 16ff8a1..f03e2a7 100644 Binary files a/output/cutter_clips/beat_14_source.mp4 and b/output/cutter_clips/beat_14_source.mp4 differ diff --git a/output/cutter_clips/beat_19_compare.mp4 b/output/cutter_clips/beat_19_compare.mp4 index 9d94f90..50bab73 100644 Binary files a/output/cutter_clips/beat_19_compare.mp4 and b/output/cutter_clips/beat_19_compare.mp4 differ diff --git a/output/cutter_clips/beat_20_compare.mp4 b/output/cutter_clips/beat_20_compare.mp4 index 4da8241..a34130b 100644 Binary files a/output/cutter_clips/beat_20_compare.mp4 and b/output/cutter_clips/beat_20_compare.mp4 differ diff --git a/output/cutter_stills/beat_14_source.jpg b/output/cutter_stills/beat_14_source.jpg index 067e716..f5c12c7 100644 Binary files a/output/cutter_stills/beat_14_source.jpg and b/output/cutter_stills/beat_14_source.jpg differ diff --git a/output/report/match_report.html b/output/report/match_report.html index 12e287f..2223d46 100644 --- a/output/report/match_report.html +++ b/output/report/match_report.html @@ -132,4 +132,4 @@ table.ov tr:hover { background: rgba(255, 255, 255, 0.05); }
-

Cutter & Match Report

Generiert: 2026-05-08 12:22:34Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 23 automatisch (4 bestätigt) — 2 manuell.
Recent Changes:
Fix multi-shot matching: increase cut correlation threshold to properly segment multi-island beats

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
MAN.Kein Treffer — manuell suchen oder Schwarzbild einfügen

Übersicht

BeatTrailer TC In–OutDauerSource TC InSceneScoreStatus
0000:00:00:00–00:00:03:003.00s00:00:03:1910.597?
0100:00:03:00–00:00:08:105.40s00:00:04:0910.380?
0200:00:08:10–00:00:16:248.56s00:00:35:0530.761OK
0300:00:16:24–00:00:19:032.16s01:02:19:034360.572?
0400:00:19:03–00:00:20:161.52s01:02:21:094370.728OK
0500:00:20:16–00:00:26:095.72s00:01:33:03100.499?
0600:00:26:09–00:00:29:062.88s00:01:03:0750.396?
0700:00:29:06–00:00:31:172.44s01:20:10:105530.497?
0800:00:31:17–00:00:33:161.96s00:00:51:0750.620?
0900:00:33:16–00:00:36:193.12s01:20:29:035570.674OK
1000:00:36:19–00:00:40:023.32s01:20:35:16558+559+5560.660?
1100:00:40:02–00:00:42:032.04s01:20:40:185590.636?
1200:00:42:03–00:00:50:068.12s01:14:26:06519+130.701OK
1300:00:50:06–00:00:53:213.60s00:43:19:133080.636?
1400:00:53:21–00:00:57:023.24s00:43:38:063090.626?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.650?
1600:01:01:12–00:01:04:123.00s01:05:12:124510.626?
1700:01:04:12–00:01:09:034.64s01:31:18:04623+720.399?
1800:01:09:03–00:01:10:191.64s———MAN.
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:27:05:036130.417?
2100:01:15:14–00:01:17:131.96s00:23:55:001750.526?
2200:01:17:13–00:01:19:232.40s01:03:05:114420.544?
2300:01:19:23–00:01:25:145.64s01:04:35:214460.534?
2400:01:25:14–00:01:32:076.72s———MAN.

Beat-Details

Beat 00

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:00:00–00:00:03:00  (3.00s)
Phase logo animation assembling from distorted shapes with motion blur
Bild centered, symmetrical, abstract black void
Source
00:00:03:19–00:00:05:09
Scene 1 · Score 0.597
⚠ Score 0.597 unter 0.65 — visuell prüfen
python cli.py rematch --beat 0

Beat 01

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:03:00–00:00:08:10  (5.40s)
Phase Dynamic motion blur and shifting optical distortions across the text
Bild Centered, symmetrical layout with overlapping circular glass-like distortions, Abstract black void
Source
00:00:04:09–00:00:06:03
Scene 1 · Score 0.380
⚠ Score 0.380 unter 0.65 — visuell prüfen
python cli.py rematch --beat 1

Beat 02

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:08:10–00:00:16:24  (8.56s)
Phase drawing a heart shape on a foggy surface
Bild extreme close-up, shifting from profile of a face to a hand interacting with a surface, indoor, obscured glass or foggy surface
Source
00:00:35:05–00:00:43:06
Scene 3 · Score 0.761
python cli.py rematch --beat 2

Beat 03

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:16:24–00:00:19:03  (2.16s)
Phase speaking and smiling slightly
Bild close-up shot, centered face, outdoor rocky environment
Source
01:02:19:03–01:02:20:20
Scene 436 · Score 0.572
⚠ Score 0.572 unter 0.65 — visuell prüfen
python cli.py rematch --beat 3

Beat 04

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:19:03–00:00:20:16  (1.52s)
Phase lifting a camera to eye level to take a photo
Bild medium shot, subject centered, shallow depth of field with blurred treeline background, outdoor forest landscape, overcast sky
Source
01:02:21:09–01:02:22:08
Scene 437 · Score 0.728
python cli.py rematch --beat 4

Beat 05

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:20:16–00:00:26:09  (5.72s)
Phase a metallic cylindrical object is brought toward and touches the skin of the forearm
Bild extreme close-up, shallow depth of field, indistinct dark interior
Source
00:01:33:03–00:01:37:09
Scene 10 · Score 0.499
⚠ Score 0.499 unter 0.65 — visuell prüfen
python cli.py rematch --beat 5

Beat 06

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:26:09–00:00:29:06  (2.88s)
Phase hand reaching toward and touching an ornate decorative box
Bild close-up, shallow depth of field, hand entering from left frame, dark interior
Source
00:01:03:07–00:01:05:03
Scene 5 · Score 0.396
⚠ Score 0.396 unter 0.65 — visuell prüfen
python cli.py rematch --beat 6

Beat 07

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:29:06–00:00:31:17  (2.44s)
Phase man appears to be engaged in conversation
Bild man in a light gray sweater and scarf, seated on a white couch, with a window in the background, indoor with a view of the ocean
Source
01:20:10:10–01:20:12:14
Scene 553 · Score 0.497
⚠ Score 0.497 unter 0.65 — visuell prüfen
python cli.py rematch --beat 7

Beat 08

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:31:17–00:00:33:16  (1.96s)
Phase static or slow drifting
Bild close-up, diagonal curve from top-left to bottom-center, dark, indistinct void
Source
00:00:51:07–00:00:53:01
Scene 5 · Score 0.620
⚠ Score 0.620 unter 0.65 — visuell prüfen
python cli.py rematch --beat 8

Beat 09

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:33:16–00:00:36:19  (3.12s)
Phase speaking, transitioning from closed eyes to open mouth and focused gaze
Bild medium close-up, subject positioned right of center, profile/three-quarter view, indoor room next to a large window overlooking a blue horizon/sea
Source
01:20:29:03–01:20:32:06
Scene 557 · Score 0.674
python cli.py rematch --beat 9

Beat 10

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:36:19–00:00:40:02  (3.32s)
Phase conversation
Bild alternating close-ups and a medium two-shot, indoor living room with large windows showing a blue exterior landscape
Source
01:20:35:16  (multi-shot)
Scene Scenes 558, 559, 556 · 3 Segmente
  • Seg 1: 01:20:35:16  dur 0.88s  @ off 0.00s  sc 558  score 0.674
  • Seg 2: 01:20:36:13  dur 1.76s  @ off 0.88s  sc 559  score 0.649
  • Seg 3: 01:20:22:14  dur 0.68s  @ off 2.64s  sc 556  score 0.672
python cli.py rematch --beat 10

Beat 11

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:40:02–00:00:42:03  (2.04s)
Phase static talking head with slight facial expression changes
Bild medium close-up, subject positioned right of center, profile/three-quarter view facing left, indoor room with a large window showing a blue sea/horizon background
Source
01:20:40:18–01:20:42:18
Scene 559 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 11

Beat 12

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:42:03–00:00:50:06  (8.12s)
Phase static profile shot transitioning to black/darkness
Bild medium close-up, profile view, subject positioned on the right side of the frame, dark outdoor environment, blurred trees in background
Source
01:14:26:06  (multi-shot)
Scene Scenes 519, 13 · 2 Segmente
  • Seg 1: 01:14:26:06  dur 3.52s  @ off 0.16s  sc 519  score 0.721
  • Seg 2: 00:01:47:14  dur 2.88s  @ off 4.88s  sc 13  score 0.676
python cli.py rematch --beat 12

Beat 13

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:50:06–00:00:53:21  (3.60s)
Phase static conversation; woman on right is standing and holding a cup
Bild wide shot, two figures positioned on opposite sides of a round dining table, modern glass-walled sunroom or conservatory overlooking a snowy landscape
Source
00:43:19:13–00:43:23:04
Scene 308 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 13

Beat 14

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:53:21–00:00:57:02  (3.24s)
Phase static conversation, subject holding a white cup
Bild medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest
Source
00:43:38:06–00:43:41:09
Scene 309 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 14

Beat 15

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:57:02–00:01:01:12  (4.40s)
Phase static conversation
Bild medium shot, profile view of two characters facing each other, indoor room with a large window overlooking a snowy forest
Source
00:02:10:08  (multi-shot)
Scene Scenes 17, 309 · 2 Segmente
  • Seg 1: 00:02:10:08  dur 2.80s  @ off 0.24s  sc 17  score 0.720
  • Seg 2: 00:43:38:19  dur 1.28s  @ off 3.04s  sc 309  score 0.380
python cli.py rematch --beat 15

Beat 16

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:01:12–00:01:04:12  (3.00s)
Phase man reaches out and touches the red door with a small object
Bild medium side profile shot, subject on left, door on right, indoor dim environment, adjacent to a red wooden door
Source
01:05:12:12–01:05:15:07
Scene 451 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 16

Beat 17

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:04:12–00:01:09:03  (4.64s)
Phase Static intimacy transitioning to a spatial arrangement of figures
Bild Medium shot, eye-level. First two frames: static shot of couple in bed. Third frame: wide shot of women among white blocks, Bedroom with bedside table and lamp; transition to a white minimalist interior with pedestals
Source
01:31:18:04  (multi-shot)
Scene Scenes 623, 72 · 3 Segmente
  • Seg 1: 01:31:18:04  dur 1.92s  @ off 0.24s  sc 623  score 0.384
  • Seg 2: 00:09:06:13  dur 1.04s  @ off 2.80s  sc 72  score 0.434
  • Seg 3: 00:09:07:18  dur 0.50s  @ off 4.00s  sc 72  score 0.384
⚠ Score 0.399 unter 0.65 — visuell prüfen
python cli.py rematch --beat 17

Beat 18

MAN.Kein Treffer
Trailer 18
— manuell setzen —
Trailer
00:01:09:03–00:01:10:19  (1.64s)
Phase Woman in foreground turns her head from profile to face the camera while speaking
Bild Medium shot, three-quarter profile of woman in foreground left, two women positioned behind her to the right, Indoors, minimalist dark background
— kein automatischer Treffer —
python cli.py rematch --beat 18

Beat 19

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:10:19–00:01:12:13  (1.76s)
Phase static conversation, subtle facial expression change
Bild medium close-up, over-the-shoulder shot with a blurred figure in the foreground right, outdoor dark forest or wooded area
Source
00:16:48:13–00:16:49:10
Scene 126 · Score 0.403
⚠ Score 0.403 unter 0.65 — visuell prüfen
python cli.py rematch --beat 19

Beat 20

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:12:13–00:01:15:14  (3.04s)
Phase man kisses woman's forehead, then they pull back slightly to face each other
Bild extreme close-up, profile view, faces facing each other, indoor, blurred background
Source
01:27:05:03–01:27:06:00
Scene 613 · Score 0.417
⚠ Score 0.417 unter 0.65 — visuell prüfen
python cli.py rematch --beat 20

Beat 21

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:15:14–00:01:17:13  (1.96s)
Phase hand raised to mouth, slight facial movement
Bild extreme close-up, face partially obscured by shadow, dark interior
Source
00:23:55:00–00:23:56:23
Scene 175 · Score 0.526
⚠ Score 0.526 unter 0.65 — visuell prüfen
python cli.py rematch --beat 21

Beat 22

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:17:13–00:01:19:23  (2.40s)
Phase man looks up and speaks, transitioning from downward gaze to forward gaze
Bild close-up, profile to three-quarter view, outdoor rocky environment, blurred background
Source
01:03:05:11–01:03:07:07
Scene 442 · Score 0.544
⚠ Score 0.544 unter 0.65 — visuell prüfen
python cli.py rematch --beat 22

Beat 23

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:19:23–00:01:25:14  (5.64s)
Phase static posture, head tilted upwards looking at the sky
Bild medium shot, subject positioned on the left third, facing away from camera towards the water, rocky shoreline next to a body of water under an overcast sky
Source
01:04:35:21–01:04:41:02
Scene 446 · Score 0.534
⚠ Score 0.534 unter 0.65 — visuell prüfen
python cli.py rematch --beat 23

Beat 24

MAN.Kein Treffer
Trailer 24
— manuell setzen —
Trailer
00:01:25:14–00:01:32:07  (6.72s)
— kein automatischer Treffer —
python cli.py rematch --beat 24
+

Cutter & Match Report

Generiert: 2026-05-08 12:46:56Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 23 automatisch (4 bestätigt) — 2 manuell.
Recent Changes:
Fix multi-shot matching: increase cut correlation threshold to properly segment multi-island beats

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
MAN.Kein Treffer — manuell suchen oder Schwarzbild einfügen

Übersicht

BeatTrailer TC In–OutDauerSource TC InSceneScoreStatus
0000:00:00:00–00:00:03:003.00s00:00:03:1910.597?
0100:00:03:00–00:00:08:105.40s00:00:04:0910.380?
0200:00:08:10–00:00:16:248.56s00:00:35:0530.761OK
0300:00:16:24–00:00:19:032.16s01:02:19:034360.572?
0400:00:19:03–00:00:20:161.52s01:02:21:094370.728OK
0500:00:20:16–00:00:26:095.72s00:01:33:03100.499?
0600:00:26:09–00:00:29:062.88s00:01:03:0750.396?
0700:00:29:06–00:00:31:172.44s01:20:10:105530.497?
0800:00:31:17–00:00:33:161.96s00:00:51:0750.620?
0900:00:33:16–00:00:36:193.12s01:20:29:035570.674OK
1000:00:36:19–00:00:40:023.32s01:20:35:16558+559+5560.660?
1100:00:40:02–00:00:42:032.04s01:20:40:185590.636?
1200:00:42:03–00:00:50:068.12s01:14:26:06519+130.701OK
1300:00:50:06–00:00:53:213.60s00:43:19:133080.636?
1400:00:53:21–00:00:57:023.24s00:43:30:233090.444?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.650?
1600:01:01:12–00:01:04:123.00s01:05:12:124510.626?
1700:01:04:12–00:01:09:034.64s01:31:18:04623+720.399?
1800:01:09:03–00:01:10:191.64s———MAN.
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:27:05:036130.417?
2100:01:15:14–00:01:17:131.96s00:23:55:001750.526?
2200:01:17:13–00:01:19:232.40s01:03:05:114420.544?
2300:01:19:23–00:01:25:145.64s01:04:35:214460.534?
2400:01:25:14–00:01:32:076.72s———MAN.

Beat-Details

Beat 00

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:00:00–00:00:03:00  (3.00s)
Phase logo animation assembling from distorted shapes with motion blur
Bild centered, symmetrical, abstract black void
Source
00:00:03:19–00:00:05:09
Scene 1 · Score 0.597
⚠ Score 0.597 unter 0.65 — visuell prüfen
python cli.py rematch --beat 0

Beat 01

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:03:00–00:00:08:10  (5.40s)
Phase Dynamic motion blur and shifting optical distortions across the text
Bild Centered, symmetrical layout with overlapping circular glass-like distortions, Abstract black void
Source
00:00:04:09–00:00:06:03
Scene 1 · Score 0.380
⚠ Score 0.380 unter 0.65 — visuell prüfen
python cli.py rematch --beat 1

Beat 02

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:08:10–00:00:16:24  (8.56s)
Phase drawing a heart shape on a foggy surface
Bild extreme close-up, shifting from profile of a face to a hand interacting with a surface, indoor, obscured glass or foggy surface
Source
00:00:35:05–00:00:43:06
Scene 3 · Score 0.761
python cli.py rematch --beat 2

Beat 03

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:16:24–00:00:19:03  (2.16s)
Phase speaking and smiling slightly
Bild close-up shot, centered face, outdoor rocky environment
Source
01:02:19:03–01:02:20:20
Scene 436 · Score 0.572
⚠ Score 0.572 unter 0.65 — visuell prüfen
python cli.py rematch --beat 3

Beat 04

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:19:03–00:00:20:16  (1.52s)
Phase lifting a camera to eye level to take a photo
Bild medium shot, subject centered, shallow depth of field with blurred treeline background, outdoor forest landscape, overcast sky
Source
01:02:21:09–01:02:22:08
Scene 437 · Score 0.728
python cli.py rematch --beat 4

Beat 05

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:20:16–00:00:26:09  (5.72s)
Phase a metallic cylindrical object is brought toward and touches the skin of the forearm
Bild extreme close-up, shallow depth of field, indistinct dark interior
Source
00:01:33:03–00:01:37:09
Scene 10 · Score 0.499
⚠ Score 0.499 unter 0.65 — visuell prüfen
python cli.py rematch --beat 5

Beat 06

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:26:09–00:00:29:06  (2.88s)
Phase hand reaching toward and touching an ornate decorative box
Bild close-up, shallow depth of field, hand entering from left frame, dark interior
Source
00:01:03:07–00:01:05:03
Scene 5 · Score 0.396
⚠ Score 0.396 unter 0.65 — visuell prüfen
python cli.py rematch --beat 6

Beat 07

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:29:06–00:00:31:17  (2.44s)
Phase man appears to be engaged in conversation
Bild man in a light gray sweater and scarf, seated on a white couch, with a window in the background, indoor with a view of the ocean
Source
01:20:10:10–01:20:12:14
Scene 553 · Score 0.497
⚠ Score 0.497 unter 0.65 — visuell prüfen
python cli.py rematch --beat 7

Beat 08

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:31:17–00:00:33:16  (1.96s)
Phase static or slow drifting
Bild close-up, diagonal curve from top-left to bottom-center, dark, indistinct void
Source
00:00:51:07–00:00:53:01
Scene 5 · Score 0.620
⚠ Score 0.620 unter 0.65 — visuell prüfen
python cli.py rematch --beat 8

Beat 09

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:33:16–00:00:36:19  (3.12s)
Phase speaking, transitioning from closed eyes to open mouth and focused gaze
Bild medium close-up, subject positioned right of center, profile/three-quarter view, indoor room next to a large window overlooking a blue horizon/sea
Source
01:20:29:03–01:20:32:06
Scene 557 · Score 0.674
python cli.py rematch --beat 9

Beat 10

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:36:19–00:00:40:02  (3.32s)
Phase conversation
Bild alternating close-ups and a medium two-shot, indoor living room with large windows showing a blue exterior landscape
Source
01:20:35:16  (multi-shot)
Scene Scenes 558, 559, 556 · 3 Segmente
  • Seg 1: 01:20:35:16  dur 0.88s  @ off 0.00s  sc 558  score 0.674
  • Seg 2: 01:20:36:13  dur 1.76s  @ off 0.88s  sc 559  score 0.649
  • Seg 3: 01:20:22:14  dur 0.68s  @ off 2.64s  sc 556  score 0.672
python cli.py rematch --beat 10

Beat 11

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:40:02–00:00:42:03  (2.04s)
Phase static talking head with slight facial expression changes
Bild medium close-up, subject positioned right of center, profile/three-quarter view facing left, indoor room with a large window showing a blue sea/horizon background
Source
01:20:40:18–01:20:42:18
Scene 559 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 11

Beat 12

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:42:03–00:00:50:06  (8.12s)
Phase static profile shot transitioning to black/darkness
Bild medium close-up, profile view, subject positioned on the right side of the frame, dark outdoor environment, blurred trees in background
Source
01:14:26:06  (multi-shot)
Scene Scenes 519, 13 · 2 Segmente
  • Seg 1: 01:14:26:06  dur 3.52s  @ off 0.16s  sc 519  score 0.721
  • Seg 2: 00:01:47:14  dur 2.88s  @ off 4.88s  sc 13  score 0.676
python cli.py rematch --beat 12

Beat 13

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:50:06–00:00:53:21  (3.60s)
Phase static conversation; woman on right is standing and holding a cup
Bild wide shot, two figures positioned on opposite sides of a round dining table, modern glass-walled sunroom or conservatory overlooking a snowy landscape
Source
00:43:19:13–00:43:23:04
Scene 308 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 13

Beat 14

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:53:21–00:00:57:02  (3.24s)
Phase static conversation, subject holding a white cup
Bild medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest
Source
00:43:30:23–00:43:34:02
Scene 309 · Score 0.444
⚠ Score 0.444 unter 0.65 — visuell prüfen
python cli.py rematch --beat 14

Beat 15

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:57:02–00:01:01:12  (4.40s)
Phase static conversation
Bild medium shot, profile view of two characters facing each other, indoor room with a large window overlooking a snowy forest
Source
00:02:10:08  (multi-shot)
Scene Scenes 17, 309 · 2 Segmente
  • Seg 1: 00:02:10:08  dur 2.80s  @ off 0.24s  sc 17  score 0.720
  • Seg 2: 00:43:38:19  dur 1.28s  @ off 3.04s  sc 309  score 0.380
python cli.py rematch --beat 15

Beat 16

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:01:12–00:01:04:12  (3.00s)
Phase man reaches out and touches the red door with a small object
Bild medium side profile shot, subject on left, door on right, indoor dim environment, adjacent to a red wooden door
Source
01:05:12:12–01:05:15:07
Scene 451 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 16

Beat 17

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:04:12–00:01:09:03  (4.64s)
Phase Static intimacy transitioning to a spatial arrangement of figures
Bild Medium shot, eye-level. First two frames: static shot of couple in bed. Third frame: wide shot of women among white blocks, Bedroom with bedside table and lamp; transition to a white minimalist interior with pedestals
Source
01:31:18:04  (multi-shot)
Scene Scenes 623, 72 · 3 Segmente
  • Seg 1: 01:31:18:04  dur 1.92s  @ off 0.24s  sc 623  score 0.384
  • Seg 2: 00:09:06:13  dur 1.04s  @ off 2.80s  sc 72  score 0.434
  • Seg 3: 00:09:07:18  dur 0.50s  @ off 4.00s  sc 72  score 0.384
⚠ Score 0.399 unter 0.65 — visuell prüfen
python cli.py rematch --beat 17

Beat 18

MAN.Kein Treffer
Trailer 18
— manuell setzen —
Trailer
00:01:09:03–00:01:10:19  (1.64s)
Phase Woman in foreground turns her head from profile to face the camera while speaking
Bild Medium shot, three-quarter profile of woman in foreground left, two women positioned behind her to the right, Indoors, minimalist dark background
— kein automatischer Treffer —
python cli.py rematch --beat 18

Beat 19

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:10:19–00:01:12:13  (1.76s)
Phase static conversation, subtle facial expression change
Bild medium close-up, over-the-shoulder shot with a blurred figure in the foreground right, outdoor dark forest or wooded area
Source
00:16:48:13–00:16:49:10
Scene 126 · Score 0.403
⚠ Score 0.403 unter 0.65 — visuell prüfen
python cli.py rematch --beat 19

Beat 20

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:12:13–00:01:15:14  (3.04s)
Phase man kisses woman's forehead, then they pull back slightly to face each other
Bild extreme close-up, profile view, faces facing each other, indoor, blurred background
Source
01:27:05:03–01:27:06:00
Scene 613 · Score 0.417
⚠ Score 0.417 unter 0.65 — visuell prüfen
python cli.py rematch --beat 20

Beat 21

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:15:14–00:01:17:13  (1.96s)
Phase hand raised to mouth, slight facial movement
Bild extreme close-up, face partially obscured by shadow, dark interior
Source
00:23:55:00–00:23:56:23
Scene 175 · Score 0.526
⚠ Score 0.526 unter 0.65 — visuell prüfen
python cli.py rematch --beat 21

Beat 22

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:17:13–00:01:19:23  (2.40s)
Phase man looks up and speaks, transitioning from downward gaze to forward gaze
Bild close-up, profile to three-quarter view, outdoor rocky environment, blurred background
Source
01:03:05:11–01:03:07:07
Scene 442 · Score 0.544
⚠ Score 0.544 unter 0.65 — visuell prüfen
python cli.py rematch --beat 22

Beat 23

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:19:23–00:01:25:14  (5.64s)
Phase static posture, head tilted upwards looking at the sky
Bild medium shot, subject positioned on the left third, facing away from camera towards the water, rocky shoreline next to a body of water under an overcast sky
Source
01:04:35:21–01:04:41:02
Scene 446 · Score 0.534
⚠ Score 0.534 unter 0.65 — visuell prüfen
python cli.py rematch --beat 23

Beat 24

MAN.Kein Treffer
Trailer 24
— manuell setzen —
Trailer
00:01:25:14–00:01:32:07  (6.72s)
— kein automatischer Treffer —
python cli.py rematch --beat 24