diff --git a/CUTTER_REPORT.html b/CUTTER_REPORT.html index a4ddeff..5ea8a92 100644 --- a/CUTTER_REPORT.html +++ b/CUTTER_REPORT.html @@ -92,6 +92,7 @@ table.ov tr:hover { background: rgba(255, 255, 255, 0.05); } .badge.ok { background: var(--ok-bg); color: var(--ok); border: 1px solid rgba(74, 222, 128, 0.2); } .badge.q { background: var(--q-bg); color: var(--q); border: 1px solid rgba(251, 191, 36, 0.2); } .badge.man { background: var(--man-bg); color: var(--man); border: 1px solid rgba(248, 113, 113, 0.2); } +.badge.gfx { background: rgba(96, 165, 250, 0.12); color: #93c5fd; border: 1px solid rgba(147, 197, 253, 0.24); } /* Beat cards */ .beats-grid { display: grid; grid-template-columns: repeat(auto-fill, minmax(600px, 1fr)); gap: 32px; } @@ -132,4 +133,4 @@ table.ov tr:hover { background: rgba(255, 255, 255, 0.05); }
-

Cutter & Match Report

Generiert: 2026-05-09 18:28:32Trailer: 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
2100:01:15:14–00:01:17:131.96s01:36:22:086370.661OK
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
01:36:22:08–01:36:23:14
Scene 637 · Score 0.661
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 18:46:51Trailer: 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:
Filter cached vision action windows

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
GFXTitel-/Grafikkarte — als Trailer-Grafik übernehmen, nicht im Spielfilm suchen
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
2100:01:15:14–00:01:17:131.96s01:36:22:086370.661OK
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———GFX

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
01:36:22:08–01:36:23:14
Scene 637 · Score 0.661
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

GFXTitel/Grafik
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 a0edd47..eba7d26 100644 --- a/CUTTER_REPORT.md +++ b/CUTTER_REPORT.md @@ -1,6 +1,6 @@ # Cutter-Report — manuelles Nachschneiden -Generiert: **2026-05-09 18:28:32** +Generiert: **2026-05-09 18:46:51** - **Trailer**: `BehindTheRedDoor_Trailer_REFERENCE.mp4` @ 25.000 fps - **Source** : `BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4` @ 23.976 fps @@ -13,9 +13,10 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. |--------|-----------| | `OK` | Bestätigt durch CV-Analyse — übernehmen | | `?` | Vorläufig — korrekte Szene, Phase im NLE prüfen | +| `GFX` | Titel-/Grafikkarte — nicht aus dem Spielfilm matchen | | `MAN.` | Kein automatischer Treffer — manuell setzen | -**25** Beats gesamt · **24** automatisch (**6** bestätigt) · **1** manuell. +**25** Beats gesamt · **24** automatisch (**6** bestätigt) · **1** Grafik/Titel · **0** manuell. ## Beat-Tabelle @@ -45,7 +46,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | 21 | 00:01:15:14 – 00:01:17:13 | 01:36:22:08 – 01:36:23:14 | 637 | 0.661 | 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. | +| 24 | 00:01:25:14 – 00:01:32:07 | — – — | — | — | GFX | ## Beat-Details @@ -411,12 +412,11 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. |:---:|:---:| | ![Trailer 23](data:image/jpeg;base64,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) | ![Source 23](data:image/jpeg;base64,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) | -### Beat 24 — MAN. / Kein Treffer +### Beat 24 — GFX / Titel/Grafik - **Trailer**: 00:01:25:14 – 00:01:32:07 (6.72 s) -- **Source** : — (manuell setzen) -- **Rematch**: `python cli.py rematch --beat 24` +- **Source** : — (Titel-/Grafikkarte, nicht aus Source matchen) | Trailer | Source | |:---:|:---:| -| ![Trailer 24](data:image/jpeg;base64,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) | _(MAN.)_ | +| ![Trailer 24](data:image/jpeg;base64,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) | _(GFX)_ |