diff --git a/CUTTER_REPORT.html b/CUTTER_REPORT.html index af96ddf..9950d8f 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: 2026-05-09 18:02:10Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 24 automatisch (6 bestätigt) — 1 manuell.
Recent Changes:
Recover weak low-light matches via vision

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?
1400:00:53:21–00:00:57:023.24s00:43:24:163090.626?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.708?
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?
1800:01:09:03–00:01:10:191.64s00:09:13:13750.542?
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:27:51:126130.711OK
2100:01:15:14–00:01:17:131.96s00:46:53:203400.769OK
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: 01:20:36:14  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
00:43:24:16–00:43:27:19
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: 00:43:27:13  dur 1.28s  @ off 3.04s  sc 309  score 0.682
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

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
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
Source
00:09:13:13–00:09:15:05
Scene 75 · Score 0.542
⚠ Score 0.542 unter 0.65 — visuell prüfen
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

OKBestätigt
▶ 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
01:27:51:12–01:27:54:01
Scene 613 · Score 0.711
python cli.py rematch --beat 20

Beat 21

OKBestätigt
▶ 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
00:46:53:20–00:46:54:23
Scene 340 · Score 0.769
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: 2026-05-09 18:03:13Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 24 automatisch (6 bestätigt) — 1 manuell.
Recent Changes:
Recover weak low-light matches via vision

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?
1400:00:53:21–00:00:57:023.24s00:43:24:163090.626?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.708?
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?
1800:01:09:03–00:01:10:191.64s00:09:13:13750.542?
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:27:51:126130.711OK
2100:01:15:14–00:01:17:131.96s01:04:30:124450.715OK
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: 01:20:36:14  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
00:43:24:16–00:43:27:19
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: 00:43:27:13  dur 1.28s  @ off 3.04s  sc 309  score 0.682
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

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
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
Source
00:09:13:13–00:09:15:05
Scene 75 · Score 0.542
⚠ Score 0.542 unter 0.65 — visuell prüfen
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

OKBestätigt
▶ 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
01:27:51:12–01:27:54:01
Scene 613 · Score 0.711
python cli.py rematch --beat 20

Beat 21

OKBestätigt
▶ 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
01:04:30:12–01:04:31:12
Scene 445 · Score 0.715
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 9764380..9d16fe6 100644 --- a/CUTTER_REPORT.md +++ b/CUTTER_REPORT.md @@ -1,6 +1,6 @@ # Cutter-Report — manuelles Nachschneiden -Generiert: **2026-05-09 18:02:10** +Generiert: **2026-05-09 18:03:13** - **Trailer**: `BehindTheRedDoor_Trailer_REFERENCE.mp4` @ 25.000 fps - **Source** : `BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4` @ 23.976 fps @@ -42,7 +42,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | 18 | 00:01:09:03 – 00:01:10:19 | 00:09:13:13 – 00:09:15:05 | 75 | 0.542 | ? | | 19 | 00:01:10:19 – 00:01:12:13 | 00:16:48:13 – 00:16:49:10 | 126 | 0.403 | ? | | 20 | 00:01:12:13 – 00:01:15:14 | 01:27:51:12 – 01:27:54:01 | 613 | 0.711 | OK | -| 21 | 00:01:15:14 – 00:01:17:13 | 00:46:53:20 – 00:46:54:23 | 340 | 0.769 | OK | +| 21 | 00:01:15:14 – 00:01:17:13 | 01:04:30:12 – 01:04:31:12 | 445 | 0.715 | OK | | 22 | 00:01:17:13 – 00:01:19:23 | 01:03:05:11 – 01:03:07:07 | 442 | 0.544 | ? | | 23 | 00:01:19:23 – 00:01:25:14 | 01:04:35:21 – 01:04:41:02 | 446 | 0.534 | ? | | 24 | 00:01:25:14 – 00:01:32:07 | — – — | — | — | MAN. | @@ -370,7 +370,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. ### Beat 21 — OK / Bestätigt - **Trailer**: 00:01:15:14 – 00:01:17:13 (1.96 s) -- **Source** : 00:46:53:20 – 00:46:54:23 (scene 340, score 0.769) +- **Source** : 01:04:30:12 – 01:04:31:12 (scene 445, score 0.715) - **Rematch**: `python cli.py rematch --beat 21` - **Phase**: hand raised to mouth, slight facial movement - **Bild**: extreme close-up, face partially obscured by shadow, dark interior @@ -379,7 +379,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | Trailer | Source | |:---:|:---:| -| ![Trailer 21](data:image/jpeg;base64,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) 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Puq7uZUU4xyHIQxYPm2IDC2MAZRx4utCrYBq9dC9K4Ywfo0Zx4lkFOzRjGJbE4GfxY7uxjgPSIX0YFlLT6sWKxwsiwaiQcLoDvEk4QUXGcxg4YB0zjEZkMGxmhERqBERAREQEREBERAREQEREHAnDoz0YArYal51uLFUW5GOimC/LmqMIBqjrkTTkArywLlVgdfm3o14iopgZYJHRun4Qx14xTsCryufXQNjSRWxryxsmEANAMLgYw6sZyEen1/2aU7erU0+62Oc4AeZfuM5HRhbe8+UjJ3IxbiMpZLBkI5Z+WXrPHK7SkWcMMeLrxMrAVscFgIr4wZVkqxTEPRtqEqxL2U7aAOj0b4gQw8eVdHIhLGYn6NO0ar7Dglqyll1BgKzJjqoyv/APV0y6NG5/3Db5RmHgA4XwtMe7i8R0JRwglxKiF3JZ+pgdKXmYa9gEh7hw9FJkVBucZHYqJy7OyOVfUugDGv2+wcBGqS8I9PFg6REnLoYgEnRmDxammxgVvDDOqOgWHGri31qObOOHIDJZ2saup+TqM8mSVspHJYuoxQiI6QIiICIiAiIgIiNAiIwCIiEg26oNWAyXqUxwHnW4YI4Zsw5h56qI1Z8ThnXX3Ls5YZVIIw2aaDLUj5MKaTZLkegegTx/T1ZrfGFyzWOI/v5qxKU1hhrk/ipMuGkRr4uW/h9ccM7LcDAYw+GHxHDz7rsdEJWWPPtscnZo1STM6O5ERkcs66ZT6BtV7KR1loHoQEKhgO9kZ+qg2oiGEoN2dgAUDlZ2wGaKM4K+GOr2Y0xBHdR6gBxhjTVulczoyElJnq5zLfrO47W0sjAZLu43cT3eJ5kvFwyZ0Ox87ORUlijqTE1JlliHWjVkBn6aqmYLFNjmctNHpwhwiAep1+SmigRHOWg6/Nl5vOZx0HdxUZbgNMzXXElp6kfJRTGJDmejKRIA93QgQxwuJDHRJhIGCyEcyAW8XREjVumGiYihPJUYnLsThypF3VXA4ysuUh3GL9YjpcdRmhERqBERAREQEREBERAREQEREi1RDu9KIwFVMAA2cPLlXWNAy2IRi1eWFsZk9NB4vOri1MiI0UiGTmTup7NiEB3ctzilHpoF0ax3SGjsrQxv4jLEB8P2tSWh7M52tWUifZCUpeJebdIZ0bojzdjGOdA6iOR5Nth0if4D0KKo0DWOZfw3uLCUHWlLlYZII51LmAC4bRFygsgMKI2iGhCTtA7tSd47OpCrkr/Bpbi7noT0asrZS7qnc4sXlA64jtj61HHUgZOBklCOZRipN3ZVebYO+OzSBw9TYny4yl31ZQ3e3CPMDXQAY8SqERV8HXEY5+Z1a4nzJJ1wc/XsumOnvq4/xYzHKWPFr2VGBJZ5IkD4FtW4srBHdK5o8XbDnGOzGfwh2Xb5OkSPb5KxqSsH6fkrHVCUCejZrOdGuY4IXV6FKvTqHEFoWQwXrEZiGpZAORyZHKtbZHBKp6Ritd4liyEi1GYw4v5SxrqGB4HxDZUwtHThxqBERAREQEREBERARESO3AYC0FwDRBEk4Hd4X66wyNXmS9mxMCIwF8YCuLVssHzcWu0mG1kAasjYItTMiyFWerA87jsMsMTl10WwrAXcMMIqccEBXKEpxljs2zjqpsxLUfCf5abiuDxkI+PVZCORlhoDksbNzGIw01Z8wBTO4PMs3OeigTnbLjHu66s2rdl4HdqTvJ6L5beI06lI7SEoE6ghviapGUpMcFtjbHGeTXJw7ljPqPFzis5YcMg3UwvDjIkMctSh1xxJqWUyxRYa10HVijcNMiDZMDuW1XPgTDpop25/5sdM6/zpn6O3HjfP2kXNGk8c9u/wCDZJ+Gv/8AkNaOJkZ6HqvxniOuP9GNQEHq7TLGQehZRkJgewU9CXLTbIZPzcjKAlLl4YCuMiCddChGWiJlqS6RhBjOoyO+Oqy2GMDrpofEJGkACJ65DGMjlUDhkCCh3qyJQA74UWwUV2ceJ8HoxshOJHUH8Q879VxLYA6dw1DHq9a+o9RqGjIPSVLNU0XyEe4+oV8ce48XesYwSlHoU5Z6gfw5h3AajM+DufZwuJWuOuJE5RAESO/8sHXEBERqBERARESPQRLbohj4i1qIcjk9HpRGj5uVejhC5ajVrEAvQnEcfdpHQuHWgRwtiQGsbAGtPcAOsYdLzQOjA3+7xp7o9mub5Hu3qjty3A8WrPcjs80HkRku3ZMsQyR7BvU02e5Pi1ZW8nPJs6mOPm6KZZdzjIxtQjGVhwHr00xpjpqe5UQ4wGIx1XCcgOitJKLDrlsQxwJaXPlplhKVkRx5aPNULrewamDItrAwlcoxOr0nhhPkWy0wpMTE4OhD0ZXDLSulzmS6lZswpER05hERoEREBERBlc+BJ9iB7e7GRMpEnXLFGKnGXEtuufL8Gkvh8MeXgf5ZYsNpPGePozuGCcd1GRn3bA+IOMaU3MlsTrkDg6Hr8/kolEhonGXybHYRn+nt4g+zWiM6dV4lyhjqR0KoUYgHq5ghZpLGTr7rq4fIpS6++vVbXdwLM0x6jRrSjq5V042xsDWtrB6aNSOYagtiN/IYkPqGYKsgr1bRjE9CpMcNiElgtIVF3GUjnqSGCI6RIEjp3TLFEgRESBERoERGARESPYVQ0A8Gz0YxHwul8nL69nHyNzlq2heSwlghiuNfkNDBk9S+LXhAEvWVFaNGerZjtodwvMcIJBusl+XCPSIH0YcjHLZkQWvJm0bKJlwYcjHlyYico6dQmRLILREHMs4bGnH3DWkYxCvzvBfTwzjg5DG0hONstRHHudFcoSPU/g3ELMirJcOhYu5HO8m5cRHWMWhERqBERAREQEREBEX3x4mAIA+CPT+T7sUhs04kJQPcafMNZ0HGqpEzk/MNmmRicE4ViYlrjVljUEgOa3F62PKI06dMdP8AZqSgcLqb+JMTkj+G1xjIZj9jjcVySDA5DKJ+hXzBBOQw4ZGjTGTA8D7KeOOmjajICPGf0I6hrzwD1ylMhfZHQ/EPoxsIlr0Vg69fqvjVKYJx8I79vohVMiHeUsaFhLqzBjx6tZv1DnLxLvOXixcdYjclxEbjNoREagREYBERoEREBERAREQ9sDpogy5AdFj479euF8SWUuMayMfEUM8ataU8o1StBKsDC2wtGy0B3EtNssw1TcFE7iVBOXc4sXlF37wwN7UTq66sd1jzDI6MhGUupYRGF0Sr4u1gwsjjwc8tIx1YqxOwYwFWQ5xTiwU7RiSptXQOA1XfFzoREdshEWVxEjhgWtjVI9mzHb6+zYEQPozs1I58qZBUQQ9zgCNWE6K5+3yZ2a6uKjenttcD6JCqsSxIfa3sz1qiznLlLPyH4B6grhLXGjCygHoAGdjq5aNqW3I1GqjGOzdMTrrMj14hvwrrxrktakxkdQ24wB/9nNahnCMRoAGPDw0UStMSR28VkLDMuWkJVk6g59lXKY7YbR48v7wqnroNcpCOQll0Ug6ksJQ4j/RmDIR6NUVzhVnNfNdbvYyhxjXw/hTyhJqzDUQdIIcdzl0wxEdwgAZTBcZAt0RRZjmXZQA7rUwpHSMONQIiMQIiNUIiICIiHu4CIGVVkx2aX36sxGk+3Yf8SuW8r8J/gP8AifJZXo7eLEpteRw157uHhL8B+bWnuYn932fm3qzp9t2A8myfIsrLeSh6yJaERHpHOhmBhjnCKrDR1Xx6qQ2A4U3qywOzGHgsjHVyujhlYKiyA1XS0ikVZwjggvHnHjIh6xPc6tPcnl2xhsKrwrM1nknOOqbcnmB2ehKIJAdWkij5BHUH5dGU9vxAlEtnlhn+kfTLNMKheNBPQhecHoptrBwSA1ZSlUdCxXUBxqddOjKBMg8wbrP6g2BuYgaArFXTAEhqWVZII08XRuokjPL7PzSV8P8A5fgPzYCXLIAGR4AstR8JCrzax0Etf78VZvjrnl/f1QsceWgVHbgjrguVXxj4/wB/Vl94iT0P2fmhWlVOGTjOGHnSzrltyvgRj4h+H5tU+WNQDn3dRDeUZ+7MRER0aQng+3gtFuTrlKnMyI06JG6ONWHnAnTKmWMrEXY8ZD590sj8IaQmY+4C7z86EaMw0o4iWJWEgqi6giiLBji1ktYJjuwcaGyGdQqdyUUADh3lnqxRuaakTnDFEWJoRESBERoEREBERlH/2Q==) 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) | ### Beat 22 — ? / Vorläufig diff --git a/output/cutter_clips/beat_21_compare.mp4 b/output/cutter_clips/beat_21_compare.mp4 index f32a607..0ec91f2 100644 Binary files a/output/cutter_clips/beat_21_compare.mp4 and b/output/cutter_clips/beat_21_compare.mp4 differ diff --git a/output/cutter_clips/beat_21_source.mp4 b/output/cutter_clips/beat_21_source.mp4 index b40c826..6253cf7 100644 Binary files a/output/cutter_clips/beat_21_source.mp4 and b/output/cutter_clips/beat_21_source.mp4 differ diff --git a/output/cutter_stills/beat_21_source.jpg b/output/cutter_stills/beat_21_source.jpg index b71d6d1..447526b 100644 Binary files a/output/cutter_stills/beat_21_source.jpg and b/output/cutter_stills/beat_21_source.jpg differ