diff --git a/CUTTER_REPORT.html b/CUTTER_REPORT.html index b7fabee..c1c6227 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 10:31:58Trailer: 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
0300:00:16:24–00:00:19:032.16s01:02:19:034360.572?
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
1000:00:36:19–00:00:40:023.32s01:20:13:13554+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
01:02:19:03–01:02:20:20
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
01:20:13:13  (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 11:31:14Trailer: 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:
Add hi-res phase refinement for intra-scene phase matching (Beat 03 investigation)

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
diff --git a/CUTTER_REPORT.md b/CUTTER_REPORT.md index 5711a1a..96ed6f4 100644 --- a/CUTTER_REPORT.md +++ b/CUTTER_REPORT.md @@ -1,6 +1,6 @@ # Cutter-Report — manuelles Nachschneiden -Generiert: **2026-05-08 10:31:58** +Generiert: **2026-05-08 11:31:14** - **Trailer**: `BehindTheRedDoor_Trailer_REFERENCE.mp4` @ 25.000 fps - **Source** : `BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4` @ 23.976 fps @@ -31,7 +31,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | 7 | 00:00:29:06 – 00:00:31:17 | 01:20:10:10 – 01:20:12:14 | 553 | 0.497 | ? | | 8 | 00:00:31:17 – 00:00:33:16 | 00:00:51:07 – 00:00:53:01 | 5 | 0.620 | ? | | 9 | 00:00:33:16 – 00:00:36:19 | 01:20:29:03 – 01:20:32:06 | 557 | 0.674 | OK | -| 10 | 00:00:36:19 – 00:00:40:02 | 01:20:13:13 – 01:20:14:11 | 554 (+2) | 0.660 | ? | +| 10 | 00:00:36:19 – 00:00:40:02 | 01:20:35:16 – 01:20:36:13 | 558 (+2) | 0.660 | ? | | 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 | ? | @@ -199,8 +199,8 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. ### Beat 10 — ? / Vorläufig - **Trailer**: 00:00:36:19 – 00:00:40:02 (3.32 s) -- **Source** : 01:20:13:13 – 01:20:14:11 (scenes 554, 559, 556 (3 Segmente), score 0.660) - - Seg 1: TC 01:20:13:13 dur 0.88s @ Trailer-Offset 0.00s (scene 554) +- **Source** : 01:20:35:16 – 01:20:36:13 (scenes 558, 559, 556 (3 Segmente), score 0.660) + - Seg 1: TC 01:20:35:16 dur 0.88s @ Trailer-Offset 0.00s (scene 558) - Seg 2: TC 01:20:36:13 dur 1.76s @ Trailer-Offset 0.88s (scene 559) - Seg 3: TC 01:20:22:14 dur 0.68s @ Trailer-Offset 2.64s (scene 556) - **Rematch**: `python cli.py rematch --beat 10` @@ -211,7 +211,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | Trailer | Source | |:---:|:---:| -| ![Trailer 10](data:image/jpeg;base64,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) | ![Source 10](data:image/jpeg;base64,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) | +| ![Trailer 10](data:image/jpeg;base64,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) | ![Source 10](data:image/jpeg;base64,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) | ### Beat 11 — ? / Vorläufig 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_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_10_compare.mp4 b/output/cutter_clips/beat_10_compare.mp4 index f9a8644..2eaa586 100644 Binary files a/output/cutter_clips/beat_10_compare.mp4 and b/output/cutter_clips/beat_10_compare.mp4 differ diff --git a/output/cutter_clips/beat_10_source.mp4 b/output/cutter_clips/beat_10_source.mp4 index 6ff7183..dc82ded 100644 Binary files a/output/cutter_clips/beat_10_source.mp4 and b/output/cutter_clips/beat_10_source.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_17_compare.mp4 b/output/cutter_clips/beat_17_compare.mp4 index 7746035..96127b8 100644 Binary files a/output/cutter_clips/beat_17_compare.mp4 and b/output/cutter_clips/beat_17_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_10_source.jpg b/output/cutter_stills/beat_10_source.jpg index ea559c6..8d982c4 100644 Binary files a/output/cutter_stills/beat_10_source.jpg and b/output/cutter_stills/beat_10_source.jpg differ diff --git a/output/report/match_report.html b/output/report/match_report.html index b7fabee..c1c6227 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 10:31:58Trailer: 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
0300:00:16:24–00:00:19:032.16s01:02:19:034360.572?
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
1000:00:36:19–00:00:40:023.32s01:20:13:13554+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
01:02:19:03–01:02:20:20
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
01:20:13:13  (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 11:31:14Trailer: 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:
Add hi-res phase refinement for intra-scene phase matching (Beat 03 investigation)

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