From 45b5376cef52c42393684ab48a342bbc56d0a0b3 Mon Sep 17 00:00:00 2001 From: Melbar Date: Sat, 9 May 2026 18:28:33 +0200 Subject: [PATCH] Auto-update cutter report 2026-05-09 18:28 Co-Authored-By: Claude Sonnet 4.6 --- CUTTER_REPORT.html | 2 +- CUTTER_REPORT.md | 13 ++++++------- output/cutter_clips/beat_21_compare.mp4 | Bin 35366 -> 39504 bytes output/cutter_clips/beat_21_source.mp4 | Bin 10174 -> 15693 bytes output/cutter_stills/beat_21_source.jpg | Bin 8946 -> 6548 bytes 5 files changed, 7 insertions(+), 8 deletions(-) diff --git a/CUTTER_REPORT.html b/CUTTER_REPORT.html index dd4d797..a4ddeff 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 18:22:34Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 24 automatisch (5 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
2100:01:15:14–00:01:17:131.96s01:36:21:2200.489?
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

?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
01:36:21:22–01:36:22:23
Scene 0 · Score 0.489
⚠ Score 0.489 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: 2026-05-09 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
diff --git a/CUTTER_REPORT.md b/CUTTER_REPORT.md index bd77e82..a0edd47 100644 --- a/CUTTER_REPORT.md +++ b/CUTTER_REPORT.md @@ -1,6 +1,6 @@ # Cutter-Report — manuelles Nachschneiden -Generiert: **2026-05-09 18:22:34** +Generiert: **2026-05-09 18:28:32** - **Trailer**: `BehindTheRedDoor_Trailer_REFERENCE.mp4` @ 25.000 fps - **Source** : `BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4` @ 23.976 fps @@ -15,7 +15,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | `?` | Vorläufig — korrekte Szene, Phase im NLE prüfen | | `MAN.` | Kein automatischer Treffer — manuell setzen | -**25** Beats gesamt · **24** automatisch (**5** bestätigt) · **1** manuell. +**25** Beats gesamt · **24** automatisch (**6** bestätigt) · **1** manuell. ## Beat-Tabelle @@ -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 | 01:36:21:22 – 01:36:22:23 | 0 | 0.489 | ? | +| 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. | @@ -367,11 +367,10 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. |:---:|:---:| | ![Trailer 20](data:image/jpeg;base64,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) 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) | -### Beat 21 — ? / Vorläufig +### Beat 21 — OK / Bestätigt - **Trailer**: 00:01:15:14 – 00:01:17:13 (1.96 s) -- **Source** : 01:36:21:22 – 01:36:22:23 (scene 0, score 0.489) -- ⚠ Score 0.489 unter 0.65 — visuell prüfen +- **Source** : 01:36:22:08 – 01:36:23:14 (scene 637, score 0.661) - **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 @@ -380,7 +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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| +| ![Trailer 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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 0ec91f259488879aaae25a1e5ce07fb5ddf77182..107e2a87486937f9fb9f428bd5692cc6f9992edd 100644 GIT binary patch delta 37855 zcmW(+V{|4>7mRJ28{4*RJK5NFp4iUD#>Td7Zfx7OzP#U$I$hOsr>9S!IfLqZi~oT9 zYXqs~2L}G#AOOq`45FW%hfiK@I)zpW{GRKZpbZg8VrL zSmK9U{=n^L+`=C%@WZozAP)ot4)&v&f4JWdOo4#F&VWRKfChiWPY}rBPs{StnfDV! z@xz6F;P5lZ&!m7WfB4UZft-FO$o3Qa69=UAga0O4nM4Eb5Avs^p$fbO1b|Fo8XgSv zeG|;?4hT5Z+W2hRdktWC^z=R+KSUIH`h()+OQU5#E{2+5tvkvr^Ciig5JLoxKf_zK zjYvy}S{=yJAR{)uyY(>7W_MW_QTl?=+kYInXy*TnCGeu0IyAU^$FdXngjE?&u=!!M zEE-m9l$amv6wHj~(h1c30ceC6a{CBO>+jL$hQ}Nl{t|K9c59@TRLI@J{~n`H3#PHd z?A)mTYMGXoQe}*R@;7ZV{7OHpX6SHo$k~r7_V)Gr8$=4kQPnj&p%?#4Hf zYZA|C6i5AN_2y>*eiqV?Yp@|Rv3{q$jLl}Jd0wi3`mTC#r;?Kqpbf8*YlZv8U9hhC zS&~l2PFtPlQX&O~5hIFl?yzc#ymgnH=@@H4EmSL^Tn*1pfqPBQd-#@cBAjK$&1|>utBGnxz&ARH} zWjcBDj%`W*CUr+D>TZJ%ebL|7C(|0&?N}2#;XrE`qZCq+(af*`F3-oS*(Sf$P2VbS zqbqFzp954Pc<}Q97r;%tnq$dSNrN 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