QuantCinemaCinema, decoded.

DEEP DIVE · THE-NOTEBOOK

The full breakdown

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

← Back to The Notebook

2004Romance, Drama123.8 min● analyzed May 15, 2026

Total Detections

95,444

objects + faces

Unique Objects

65

distinct types

Detections / min

770.8

avg rate

Night Scenes

78.3%

low-light frames

Words Spoken

7,935

transcribed

Named Actors

14

face-id matched

SCENE BREAKDOWN

Distribution by type

100 scenes·17 distinct types detected

Outdoor

Night

Suspense

Outdoor36.7%

Night29.8%

Suspense16.8%

Romantic5.9%

Empty4.6%

Intimate1.7%

General1.1%

Action0.8%

Indoor0.8%

Nature0.5%

Action crowd0.4%

Fight0.4%

Substance use0.2%

Police chase0.2%

Chase0.1%

Day0.0%

Armed0.0%

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.

Intimate

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

General

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

Action

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

Indoor

Interior locations — ceilings, walls, controlled lighting.

Nature

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

Action crowd

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

Fight

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

Substance use

Smoking, drinking, or related object/gesture cues.

Police chase

Vehicles + emergency colors / sirens detected.

Chase

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

Day

Bright outdoor or daytime lighting.

Armed

Firearms or bladed weapons detected in frame.

SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion

001night0:00 – 0:5959.9s2880.10

002night3:25 – 3:260.2s20.10

003outdoor3:51 – 3:521.0s60.21

004general4:40 – 4:400.0s10.70

005outdoor4:46 – 4:470.4s30.10

006intimate4:54 – 4:540.0s10.20

007night6:07 – 7:0659.9s2880.20

008outdoor10:09 – 10:090.0s10.20

009night10:34 – 10:361.9s100.72

010night17:43 – 18:4359.9s2880.20

011intimate19:01 – 19:010.2s20.20

012night19:15 – 19:160.4s30.30

013outdoor21:19 – 21:212.3s120.10

014night21:45 – 21:5611.7s570.30

015outdoor24:24 – 24:273.3s170.10

016action_crowd25:55 – 25:550.2s21.30

017action_crowd26:14 – 26:162.7s141.79

018action_crowd27:51 – 27:553.8s192.27

019night34:18 – 35:1859.9s2880.10

020night40:23 – 41:2359.8s2880.20

021indoor43:30 – 43:321.2s71.08

022indoor43:40 – 43:400.2s21.00

023outdoor43:56 – 43:571.0s60.10

024night44:35 – 44:350.0s10.20

025outdoor45:04 – 45:050.6s40.41

026night45:12 – 45:131.9s100.36

027outdoor45:30 – 45:332.7s140.11

028night46:39 – 46:5112.7s620.28

029outdoor48:05 – 48:061.7s90.82

030night49:12 – 49:131.9s100.94

031outdoor49:21 – 49:210.0s10.20

032night49:40 – 49:443.8s190.30

033indoor50:05 – 50:061.7s91.46

034night50:22 – 50:230.8s50.82

035outdoor51:17 – 51:170.2s20.55

036night53:24 – 53:317.3s360.87

037intimate54:34 – 54:351.1s60.20

038night54:45 – 55:1833.2s1600.33

039outdoor55:56 – 55:581.2s70.16

040general56:05 – 56:060.8s50.34

041night56:20 – 56:210.4s30.17

042outdoor56:46 – 56:460.0s10.20

043outdoor57:00 – 57:021.7s90.10

044night57:33 – 57:373.5s180.10

045outdoor58:32 – 58:385.4s270.10

046night58:50 – 58:544.4s220.20

047police_chase59:09 – 59:090.0s10.80

048night59:25 – 59:294.0s200.18

049night1:01:42 – 1:01:442.1s110.48

050outdoor1:02:21 – 1:02:297.5s370.20

051outdoor1:03:12 – 1:03:120.0s10.20

052outdoor1:04:02 – 1:04:053.1s160.20

053night1:05:22 – 1:05:220.2s20.10

054outdoor1:05:55 – 1:06:049.0s440.20

055night1:06:29 – 1:06:301.2s70.27

056general1:07:10 – 1:07:100.0s10.50

057general1:07:57 – 1:07:570.0s10.50

058outdoor1:08:19 – 1:08:223.1s160.45

059general1:13:01 – 1:13:1211.1s540.40

060indoor1:13:18 – 1:13:180.2s21.45

061night1:13:42 – 1:13:420.2s20.20

062night1:13:53 – 1:13:541.7s90.20

063outdoor1:14:00 – 1:14:010.8s50.15

064outdoor1:14:23 – 1:14:240.4s30.45

065night1:14:45 – 1:14:527.3s360.15

066intimate1:16:46 – 1:16:471.0s60.20

067outdoor1:17:30 – 1:17:310.4s30.35

068general1:18:00 – 1:18:011.0s60.30

069night1:19:53 – 1:19:551.5s80.10

070outdoor1:20:56 – 1:20:560.6s40.10

071night1:26:15 – 1:26:205.0s250.16

072outdoor1:26:56 – 1:26:560.6s40.13

073general1:29:03 – 1:29:041.0s60.30

074night1:29:28 – 1:29:3911.5s560.28

075outdoor1:30:51 – 1:30:520.8s50.10

076intimate1:30:59 – 1:30:590.0s10.20

077outdoor1:31:19 – 1:31:200.2s20.10

078outdoor1:32:00 – 1:32:077.3s360.29

079night1:32:23 – 1:32:230.2s20.20

080outdoor1:33:26 – 1:33:260.2s20.30

081night1:34:00 – 1:34:032.7s140.26

082general1:34:30 – 1:34:321.7s90.30

083outdoor1:34:55 – 1:35:005.6s280.14

084general1:35:19 – 1:35:190.4s30.30

085general1:35:57 – 1:36:068.8s430.52

086outdoor1:36:31 – 1:36:310.0s10.30

087general1:36:42 – 1:36:430.2s20.30

088outdoor1:36:52 – 1:36:531.5s80.10

089general1:37:19 – 1:37:190.0s10.40

090outdoor1:37:29 – 1:37:301.0s60.20

091outdoor1:37:38 – 1:38:0627.5s1330.34

092night1:38:49 – 1:38:534.0s200.11

093night1:40:46 – 1:40:470.6s40.42

094day1:43:40 – 1:43:400.0s10.10

095outdoor1:44:13 – 1:44:185.0s250.20

096night1:45:42 – 1:45:464.4s220.27

097night1:48:05 – 1:49:0559.9s2880.20

098night1:51:28 – 1:51:280.4s30.05

099action_crowd1:52:10 – 1:52:110.4s31.43

100night1:56:05 – 1:57:0559.9s2880.16