diff --git a/CUTTER_REPORT.html b/CUTTER_REPORT.html index 3263a54..a4a93f8 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 09:25:42Trailer: 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: prevent tail-trimming of valid matches at hard scene boundaries in global_scan.py

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
0300:00:16:24–00:00:19:032.16s01:02:19:114360.549?
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
1000:00:36:19–00:00:40:023.32s01:20:13:13554+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
01:02:19:11–01:02:21:01
Scene 436 · Score 0.549
⚠ Score 0.549 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
01:20:13:13  (multi-shot)
Scene Scenes 554, 559, 556 · 3 Segmente
  • Seg 1: 01:20:13:13  dur 0.88s  @ off 0.00s  sc 554  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 09:40:50Trailer: 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: prevent tail-trimming of valid matches at hard scene boundaries in global_scan.py

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
0300:00:16:24–00:00:19:032.16s01:02:19:074360.572?
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
1000:00:36:19–00:00:40:023.32s01:20:13:13554+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
01:02:19:07–01:02:21:01
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
01:20:13:13  (multi-shot)
Scene Scenes 554, 559, 556 · 3 Segmente
  • Seg 1: 01:20:13:13  dur 0.88s  @ off 0.00s  sc 554  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
diff --git a/CUTTER_REPORT.md b/CUTTER_REPORT.md index 46bda57..2e40644 100644 --- a/CUTTER_REPORT.md +++ b/CUTTER_REPORT.md @@ -1,6 +1,6 @@ # Cutter-Report — manuelles Nachschneiden -Generiert: **2026-05-08 09:25:42** +Generiert: **2026-05-08 09:40:50** - **Trailer**: `BehindTheRedDoor_Trailer_REFERENCE.mp4` @ 25.000 fps - **Source** : `BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4` @ 23.976 fps @@ -24,7 +24,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | 0 | 00:00:00:00 – 00:00:03:00 | 00:00:03:19 – 00:00:05:09 | 1 | 0.597 | ? | | 1 | 00:00:03:00 – 00:00:08:10 | 00:00:04:09 – 00:00:06:03 | 1 | 0.380 | ? | | 2 | 00:00:08:10 – 00:00:16:24 | 00:00:35:05 – 00:00:43:06 | 3 | 0.761 | OK | -| 3 | 00:00:16:24 – 00:00:19:03 | 01:02:19:11 – 01:02:21:01 | 436 | 0.549 | ? | +| 3 | 00:00:16:24 – 00:00:19:03 | 01:02:19:07 – 01:02:21:01 | 436 | 0.572 | ? | | 4 | 00:00:19:03 – 00:00:20:16 | 01:02:21:09 – 01:02:22:08 | 437 | 0.728 | OK | | 5 | 00:00:20:16 – 00:00:26:09 | 00:01:33:03 – 00:01:37:09 | 10 | 0.499 | ? | | 6 | 00:00:26:09 – 00:00:29:06 | 00:01:03:07 – 00:01:05:03 | 5 | 0.396 | ? | @@ -96,8 +96,8 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. ### Beat 03 — ? / Vorläufig - **Trailer**: 00:00:16:24 – 00:00:19:03 (2.16 s) -- **Source** : 01:02:19:11 – 01:02:21:01 (scene 436, score 0.549) -- ⚠ Score 0.549 unter 0.65 — visuell prüfen +- **Source** : 01:02:19:07 – 01:02:21:01 (scene 436, score 0.572) +- ⚠ Score 0.572 unter 0.65 — visuell prüfen - **Rematch**: `python cli.py rematch --beat 3` - **Phase**: speaking and smiling slightly - **Bild**: close-up shot, centered face, outdoor rocky environment @@ -106,7 +106,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | Trailer | Source | |:---:|:---:| -| ![Trailer 3](data:image/jpeg;base64,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) 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) | +| ![Trailer 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) | ### Beat 04 — OK / Bestätigt diff --git a/output/cutter_clips/beat_00_compare.mp4 b/output/cutter_clips/beat_00_compare.mp4 index 5898a8f..8e8a7dc 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_03_compare.mp4 b/output/cutter_clips/beat_03_compare.mp4 index fb8bf2e..f73e3f3 100644 Binary files a/output/cutter_clips/beat_03_compare.mp4 and b/output/cutter_clips/beat_03_compare.mp4 differ diff --git a/output/cutter_clips/beat_03_source.mp4 b/output/cutter_clips/beat_03_source.mp4 index fb04b0c..2a06a70 100644 Binary files a/output/cutter_clips/beat_03_source.mp4 and b/output/cutter_clips/beat_03_source.mp4 differ diff --git a/output/cutter_clips/beat_05_compare.mp4 b/output/cutter_clips/beat_05_compare.mp4 index d5f445a..32bb95e 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_12_compare.mp4 b/output/cutter_clips/beat_12_compare.mp4 index a486a5d..3228782 100644 Binary files a/output/cutter_clips/beat_12_compare.mp4 and b/output/cutter_clips/beat_12_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_03_source.jpg b/output/cutter_stills/beat_03_source.jpg index 2575585..b85c96b 100644 Binary files a/output/cutter_stills/beat_03_source.jpg and b/output/cutter_stills/beat_03_source.jpg differ diff --git a/output/report/match_report.html b/output/report/match_report.html index 3263a54..a4a93f8 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 09:25:42Trailer: 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: prevent tail-trimming of valid matches at hard scene boundaries in global_scan.py

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
0300:00:16:24–00:00:19:032.16s01:02:19:114360.549?
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
1000:00:36:19–00:00:40:023.32s01:20:13:13554+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
01:02:19:11–01:02:21:01
Scene 436 · Score 0.549
⚠ Score 0.549 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
01:20:13:13  (multi-shot)
Scene Scenes 554, 559, 556 · 3 Segmente
  • Seg 1: 01:20:13:13  dur 0.88s  @ off 0.00s  sc 554  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 09:40:50Trailer: 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: prevent tail-trimming of valid matches at hard scene boundaries in global_scan.py

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
0300:00:16:24–00:00:19:032.16s01:02:19:074360.572?
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
1000:00:36:19–00:00:40:023.32s01:20:13:13554+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
01:02:19:07–01:02:21:01
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
01:20:13:13  (multi-shot)
Scene Scenes 554, 559, 556 · 3 Segmente
  • Seg 1: 01:20:13:13  dur 0.88s  @ off 0.00s  sc 554  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