QuantCinemaCinema, decoded.

DEEP DIVE · OPPENHEIMER

The full breakdown

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

← Back to Oppenheimer

2023Drama, History180.4 min● analyzed Jun 2, 2026

Total Detections

206,611

objects + faces

Unique Objects

98

distinct types

Detections / min

1145.5

avg rate

Night Scenes

63.7%

low-light frames

Words Spoken

18,363

transcribed

Named Actors

15

face-id matched

SCENE BREAKDOWN

Distribution by type

100 scenes·21 distinct types detected

Outdoor

Night

Suspense

Outdoor40.3%

Night27.3%

Suspense8.1%

Empty5.0%

General4.6%

Romantic3.7%

Action3.4%

Nature1.7%

Indoor1.5%

Fight1.4%

Action crowd1.2%

Intimate1.1%

Day0.4%

Fire0.1%

Chase0.1%

Disaster0.1%

Armed0.0%

Large crowd0.0%

Police chase0.0%

Substance use0.0%

Violent0.0%

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.

Empty

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

General

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

Romantic

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

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.

Indoor

Interior locations — ceilings, walls, controlled lighting.

Fight

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

Action crowd

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

Intimate

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

Day

Bright outdoor or daytime lighting.

Fire

Flame, explosion, or extreme highlight clusters in warm hues.

Chase

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

Armed

Firearms or bladed weapons detected in frame.

Large crowd

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

Police chase

Vehicles + emergency colors / sirens detected.

Substance use

Smoking, drinking, or related object/gesture cues.

Violent

Weapons + impact events + blood-tone color flags.

SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion

001night0:00 – 0:044.6s230.00

002night2:49 – 2:555.8s291.32

003outdoor3:44 – 3:440.4s30.07

004outdoor8:07 – 8:1810.6s520.00

005general10:09 – 10:090.2s20.30

006night13:11 – 13:120.8s50.41

007outdoor16:04 – 16:105.4s270.40

008general17:01 – 17:010.8s50.68

009outdoor17:28 – 17:280.0s10.60

010night18:09 – 18:101.2s70.17

011outdoor18:44 – 18:440.0s10.70

012night19:24 – 19:328.3s411.79

013outdoor22:11 – 22:121.2s70.29

014night28:37 – 28:392.5s130.27

015indoor30:46 – 30:460.0s10.60

016outdoor31:52 – 31:520.4s30.20

017night36:19 – 36:190.0s10.90

018night37:45 – 37:460.8s50.38

019general38:48 – 38:480.4s30.30

020action40:12 – 40:120.0s11.10

021intimate43:11 – 43:120.2s20.20

022general44:02 – 44:020.6s40.56

023intimate44:44 – 44:440.2s20.20

024indoor45:11 – 45:110.4s30.80

025night46:23 – 46:230.0s10.10

026action47:17 – 47:170.0s11.00

027general48:41 – 48:410.0s10.50

028outdoor52:47 – 52:524.8s240.20

029outdoor54:01 – 54:010.0s10.30

030outdoor57:05 – 57:050.2s20.30

031outdoor58:41 – 58:420.8s50.79

032empty1:00:26 – 1:00:270.2s20.30

033outdoor1:01:39 – 1:01:390.0s10.20

034outdoor1:02:17 – 1:02:170.4s30.80

035intimate1:02:53 – 1:02:530.0s10.20

036fight1:04:10 – 1:04:100.0s10.90

037outdoor1:05:03 – 1:05:117.7s380.19

038outdoor1:06:45 – 1:06:450.4s30.70

039intimate1:09:29 – 1:09:290.0s10.20

040fight1:10:17 – 1:10:170.4s30.90

041outdoor1:10:58 – 1:11:1820.4s990.11

042night1:12:06 – 1:12:070.8s51.07

043outdoor1:13:36 – 1:13:370.4s30.33

044outdoor1:14:23 – 1:14:230.0s10.10

045general1:15:31 – 1:15:320.6s40.68

046outdoor1:18:15 – 1:18:172.5s130.19

047night1:19:22 – 1:19:220.0s10.10

048general1:20:10 – 1:20:100.0s10.30

049general1:21:28 – 1:21:291.7s90.59

050night1:23:02 – 1:23:042.5s130.20

051outdoor1:26:02 – 1:26:020.2s20.40

052indoor1:28:45 – 1:28:450.0s11.20

053general1:29:07 – 1:29:080.6s40.68

054general1:30:56 – 1:30:560.0s10.60

055indoor1:32:29 – 1:32:301.4s81.56

056night1:34:46 – 1:34:547.9s390.10

057action1:35:39 – 1:35:390.0s11.10

058outdoor1:36:08 – 1:36:080.0s10.20

059general1:38:57 – 1:38:581.5s80.54

060outdoor1:41:57 – 1:41:570.0s10.20

061general1:44:20 – 1:44:210.6s40.45

062indoor1:45:57 – 1:45:570.0s10.80

063outdoor1:47:21 – 1:47:4019.6s950.19

064night1:55:49 – 1:55:490.0s10.10

065action1:58:50 – 1:58:500.0s11.00

066general2:00:03 – 2:00:040.8s50.31

067outdoor2:04:03 – 2:04:041.5s80.10

068night2:08:05 – 2:09:0559.8s2880.19

069general2:09:51 – 2:09:531.9s100.58

070general2:11:25 – 2:11:250.0s10.30

071fight2:13:06 – 2:13:070.8s51.19

072outdoor2:15:19 – 2:15:190.0s10.30

073outdoor2:18:16 – 2:18:182.1s110.20

074general2:19:57 – 2:19:570.0s10.30

075general2:20:50 – 2:20:500.0s10.40

076general2:21:37 – 2:21:370.0s10.30

077indoor2:22:19 – 2:22:190.0s10.90

078action2:22:54 – 2:22:540.2s21.35

079outdoor2:25:21 – 2:25:210.0s10.40

080general2:25:43 – 2:25:430.0s10.80

081outdoor2:26:23 – 2:26:230.0s10.30

082outdoor2:27:32 – 2:27:330.8s50.45

083action2:29:18 – 2:29:180.0s11.30

084night2:30:44 – 2:30:450.8s50.68

085action_crowd2:32:18 – 2:32:190.2s22.20

086night2:34:10 – 2:34:132.5s130.86

087night2:35:22 – 2:35:231.2s70.22

088outdoor2:37:19 – 2:37:222.9s150.20

089action_crowd2:38:11 – 2:38:110.2s22.40

090night2:39:21 – 2:39:231.7s90.39

091outdoor2:40:24 – 2:40:261.9s101.57

092indoor2:42:46 – 2:42:460.0s11.00

093indoor2:43:09 – 2:43:100.8s51.09

094outdoor2:43:48 – 2:43:567.5s370.14

095outdoor2:44:46 – 2:44:460.0s11.00

096outdoor2:45:37 – 2:45:370.6s41.20

097intimate2:47:10 – 2:47:100.0s10.20

098intimate2:47:37 – 2:47:370.0s10.20

099intimate2:49:05 – 2:49:050.0s10.20

100night2:51:23 – 2:51:306.7s330.20