From 68ec77591603ef0d2134ff7657895cb14051966f Mon Sep 17 00:00:00 2001 From: Melbar Date: Sat, 9 May 2026 19:06:02 +0200 Subject: [PATCH] Auto-update cutter report 2026-05-09 19:06 Co-Authored-By: Claude Sonnet 4.6 --- CUTTER_REPORT.html | 2 +- CUTTER_REPORT.md | 8 ++++---- output/cutter_clips/beat_04_compare.mp4 | Bin 44061 -> 51315 bytes output/cutter_clips/beat_04_source.mp4 | Bin 18933 -> 26469 bytes output/cutter_stills/beat_04_source.jpg | Bin 10118 -> 10143 bytes 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/CUTTER_REPORT.html b/CUTTER_REPORT.html index 5ea8a92..1d8392d 100644 --- a/CUTTER_REPORT.html +++ b/CUTTER_REPORT.html @@ -133,4 +133,4 @@ table.ov tr:hover { background: rgba(255, 255, 255, 0.05); }
-

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
+

Cutter & Match Report

Generiert: 2026-05-09 19:06:01Trailer: 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:
Mark trailer title cards as graphics

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?
0400:00:19:03–00:00:20:161.52s01:02:21:024370.777OK
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
01:02:21:02–01:02:22:14
Scene 437 · Score 0.777
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 eba7d26..2c8c8e2 100644 --- a/CUTTER_REPORT.md +++ b/CUTTER_REPORT.md @@ -1,6 +1,6 @@ # Cutter-Report — manuelles Nachschneiden -Generiert: **2026-05-09 18:46:51** +Generiert: **2026-05-09 19:06:01** - **Trailer**: `BehindTheRedDoor_Trailer_REFERENCE.mp4` @ 25.000 fps - **Source** : `BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4` @ 23.976 fps @@ -26,7 +26,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | 1 | 00:00:03:00 – 00:00:08:10 | 00:00:04:09 – 00:00:06:03 | 1 | 0.380 | ? | | 2 | 00:00:08:10 – 00:00:16:24 | 00:00:35:05 – 00:00:43:06 | 3 | 0.761 | OK | | 3 | 00:00:16:24 – 00:00:19:03 | 01:02:19:03 – 01:02:20:20 | 436 | 0.572 | ? | -| 4 | 00:00:19:03 – 00:00:20:16 | 01:02:21:09 – 01:02:22:08 | 437 | 0.728 | OK | +| 4 | 00:00:19:03 – 00:00:20:16 | 01:02:21:02 – 01:02:22:14 | 437 | 0.777 | OK | | 5 | 00:00:20:16 – 00:00:26:09 | 00:01:33:03 – 00:01:37:09 | 10 | 0.499 | ? | | 6 | 00:00:26:09 – 00:00:29:06 | 00:01:03:07 – 00:01:05:03 | 5 | 0.396 | ? | | 7 | 00:00:29:06 – 00:00:31:17 | 01:20:10:10 – 01:20:12:14 | 553 | 0.497 | ? | @@ -112,7 +112,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. ### Beat 04 — OK / Bestätigt - **Trailer**: 00:00:19:03 – 00:00:20:16 (1.52 s) -- **Source** : 01:02:21:09 – 01:02:22:08 (scene 437, score 0.728) +- **Source** : 01:02:21:02 – 01:02:22:14 (scene 437, score 0.777) - **Rematch**: `python cli.py rematch --beat 4` - **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 @@ -121,7 +121,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | Trailer | Source | |:---:|:---:| -| ![Trailer 4](data:image/jpeg;base64,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) 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) | +| ![Trailer 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) 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