QuantCinemaCinema, decoded.

DEEP DIVE · SCHINDLERS-LIST

The full breakdown

Detection, audio and scene analysis across every frame of Schindlers List — derived from object recognition, transcript alignment and shot segmentation.

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1993Drama, History, War195.2 min● analyzed Jun 9, 2026

Total Detections

224,388

objects + faces

Unique Objects

110

distinct types

Detections / min

1149.5

avg rate

Night Scenes

38.1%

low-light frames

Words Spoken

9,901

transcribed

Named Actors

14

face-id matched

SCENE BREAKDOWN

Distribution by type

100 scenes·22 distinct types detected

Outdoor

Night

Suspense

Outdoor41.6%

Night28.9%

Suspense9.4%

Romantic5.5%

Empty4.8%

Action3.0%

Nature2.1%

Action crowd1.7%

General0.6%

Indoor0.6%

Fight0.5%

Intimate0.5%

Day0.2%

Armed0.1%

Substance use0.1%

Chase0.1%

Police chase0.0%

Large crowd0.0%

Disaster0.0%

Violent0.0%

Creature0.0%

Sci fi0.0%

GLOSSARY

What each label means

Outdoor

Exterior locations — sky, open ground, natural light.

Night

Dark or nighttime lighting — mean luminance below 0.25.

Suspense

Low motion + dark frame + low dialogue density — held tension.

Romantic

Two-person framing with warm color flag + low motion + close proximity.

Empty

No faces, low motion, no salient objects — establishing or transitional.

Action

General high-motion footage that doesn’t fit a more specific subtype.

Nature

Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.

Action crowd

High motion + high people density — riots, battles, action set pieces.

General

Default bucket — frame did not match any specific scene type.

Indoor

Interior locations — ceilings, walls, controlled lighting.

Fight

Close-range physical combat — body contact, rapid pose changes.

Intimate

Two-person framing, close shot, low motion, sustained dialogue.

Day

Bright outdoor or daytime lighting.

Armed

Firearms or bladed weapons detected in frame.

Substance use

Smoking, drinking, or related object/gesture cues.

Chase

Sustained pursuit — high motion vectors + vehicles or running figures.

Police chase

Vehicles + emergency colors / sirens detected.

Large crowd

Person count exceeds the high-density threshold — concerts, streets, stadia.

Violent

Weapons + impact events + blood-tone color flags.

Sci fi

Out-of-distribution objects, synthetic environments, unusual color palettes.

SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion

001night0:00 – 0:089.0s440.07

002night2:10 – 2:2110.2s500.11

003outdoor2:59 – 3:000.4s30.00

004outdoor3:16 – 3:160.2s20.10

005outdoor3:44 – 3:451.2s70.10

006night6:36 – 6:436.9s341.03

007night7:37 – 7:425.0s251.11

008outdoor10:04 – 10:040.0s10.50

009night11:16 – 11:192.7s140.40

010intimate12:42 – 12:420.0s10.20

011night17:13 – 17:5036.9s1780.66

012outdoor18:17 – 18:202.9s151.27

013night21:06 – 21:092.9s151.20

014night22:54 – 23:5459.8s2880.28

015night25:30 – 25:300.4s30.15

016night27:14 – 27:140.4s30.17

017outdoor29:21 – 29:210.0s10.20

018outdoor30:29 – 30:356.1s301.20

019outdoor32:57 – 33:002.9s150.14

020general39:23 – 39:230.6s40.50

021night40:02 – 40:053.3s170.27

022night42:18 – 42:180.0s10.50

023indoor44:24 – 44:240.0s10.70

024night45:43 – 45:5511.7s570.71

025night47:12 – 47:2311.3s550.27

026outdoor49:47 – 49:481.0s60.51

027night50:39 – 50:412.1s110.39

028night52:26 – 52:292.9s151.21

029night55:43 – 56:0522.5s1090.24

030night58:08 – 58:080.6s40.10

031night59:21 – 59:264.8s240.35

032outdoor1:00:14 – 1:00:184.6s230.71

033night1:01:25 – 1:01:250.0s10.20

034action1:02:14 – 1:02:140.2s21.25

035outdoor1:02:46 – 1:02:481.2s70.10

036outdoor1:03:08 – 1:03:102.1s110.30

037outdoor1:03:58 – 1:03:591.2s70.24

038night1:04:19 – 1:04:299.4s460.28

039outdoor1:05:22 – 1:05:220.0s10.90

040night1:06:42 – 1:06:420.0s10.30

041night1:09:27 – 1:09:270.4s30.72

042outdoor1:10:45 – 1:10:471.2s70.11

043night1:12:10 – 1:12:100.2s20.10

044night1:15:02 – 1:15:052.9s150.44

045outdoor1:16:36 – 1:16:392.7s140.11

046general1:17:42 – 1:17:420.0s10.60

047intimate1:18:09 – 1:18:090.0s10.20

048fight1:19:01 – 1:19:010.0s11.50

049night1:19:34 – 1:19:340.0s10.50

050indoor1:21:09 – 1:21:090.6s40.80

051night1:22:26 – 1:22:336.9s340.57

052outdoor1:23:09 – 1:23:111.7s90.11

053outdoor1:27:19 – 1:27:190.6s40.10

054night1:30:11 – 1:30:143.1s160.30

055outdoor1:32:16 – 1:32:259.6s470.34

056outdoor1:33:41 – 1:33:509.2s450.30

057night1:36:56 – 1:36:570.4s30.17

058night1:42:37 – 1:43:3759.9s2880.40

059night1:48:12 – 1:48:120.2s20.20

060night1:49:56 – 1:50:0710.6s520.30

061night1:51:29 – 1:52:2959.8s2880.20

062night1:55:48 – 1:55:480.0s10.30

063night1:56:47 – 1:56:480.4s31.05

064intimate1:59:20 – 1:59:200.0s10.10

065outdoor2:00:01 – 2:00:042.7s140.37

066outdoor2:01:18 – 2:01:180.2s20.05

067night2:02:10 – 2:02:100.0s10.40

068outdoor2:03:00 – 2:03:021.2s70.05

069outdoor2:04:30 – 2:04:4312.3s600.25

070night2:05:58 – 2:05:590.8s50.11

071general2:07:06 – 2:07:060.0s10.80

072action2:08:02 – 2:08:041.9s101.12

073night2:09:56 – 2:09:560.0s10.10

074outdoor2:11:03 – 2:11:052.1s110.37

075outdoor2:12:27 – 2:12:4315.9s770.10

076night2:14:09 – 2:14:100.4s30.10

077outdoor2:16:37 – 2:16:425.4s270.18

078intimate2:19:24 – 2:19:250.4s30.20

079outdoor2:20:57 – 2:20:570.6s40.05

080night2:21:32 – 2:21:342.7s140.30

081night2:22:12 – 2:22:120.0s10.00

082general2:22:54 – 2:22:550.4s30.30

083night2:23:28 – 2:23:290.2s20.15

084outdoor2:27:05 – 2:27:104.6s230.27

085outdoor2:27:58 – 2:28:034.4s220.20

086outdoor2:31:15 – 2:31:182.3s120.10

087outdoor2:31:58 – 2:32:024.2s210.20

088night2:33:09 – 2:33:111.2s70.39

089outdoor2:34:12 – 2:34:153.1s160.42

090outdoor2:36:12 – 2:36:120.6s40.19

091night2:38:15 – 2:38:150.0s10.80

092outdoor2:42:13 – 2:42:130.0s10.70

093outdoor2:43:04 – 2:43:2116.5s800.61

094day2:45:29 – 2:45:301.5s80.30

095outdoor2:47:21 – 2:47:264.8s240.56

096indoor2:49:56 – 2:49:560.2s20.50

097action2:55:10 – 2:55:100.0s11.10

098night3:01:15 – 3:01:150.2s20.65

099outdoor3:02:36 – 3:03:3659.9s2880.99

100night3:07:58 – 3:07:580.4s30.10