Whiplash (2014) — QuantCinema

QuantCinemaCinema, decoded.

DEEP DIVE · WHIPLASH

The full breakdown

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

← Back to Whiplash

2014Drama, Music, Thriller106.8 min● analyzed May 26, 2026

Total Detections

79,372

objects + faces

Unique Objects

127

distinct types

Detections / min

743.5

avg rate

Night Scenes

92.2%

low-light frames

Words Spoken

5,607

transcribed

Named Actors

13

face-id matched

SCENE BREAKDOWN

Distribution by type

100 scenes·21 distinct types detected

Outdoor

Night

Suspense

Outdoor35.1%

Night33.6%

Suspense17.6%

Empty5.1%

Romantic3.4%

Nature1.4%

Action0.7%

Intimate0.7%

Fight0.7%

Indoor0.4%

Action crowd0.4%

Creature0.2%

General0.2%

Armed0.1%

Substance use0.1%

Violent0.0%

Chase0.0%

Large crowd0.0%

Police chase0.0%

Disaster0.0%

Fire0.0%

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.

Romantic

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

Nature

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

Action

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

Intimate

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

Fight

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

Indoor

Interior locations — ceilings, walls, controlled lighting.

Action crowd

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

General

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

Armed

Firearms or bladed weapons detected in frame.

Substance use

Smoking, drinking, or related object/gesture cues.

Violent

Weapons + impact events + blood-tone color flags.

Chase

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

Large crowd

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

Police chase

Vehicles + emergency colors / sirens detected.

Fire

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

SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion

001night0:00 – 0:5959.9s2880.03

002night5:10 – 5:110.6s40.06

003night5:38 – 5:380.0s10.90

004indoor6:51 – 6:510.0s11.00

005night7:45 – 7:460.2s20.90

006night8:20 – 8:232.3s120.53

007night8:45 – 9:1327.7s1340.15

008night11:29 – 12:2959.9s2880.58

009indoor15:37 – 15:413.3s171.13

010outdoor15:54 – 15:540.0s10.00

011night16:22 – 16:5230.0s1450.13

012general17:26 – 17:270.2s20.60

013outdoor18:54 – 18:551.0s60.09

014night21:02 – 21:1917.1s830.19

015outdoor22:48 – 22:480.0s10.10

016night23:15 – 23:150.0s10.10

017night24:26 – 24:5326.9s1300.20

018outdoor28:31 – 28:310.0s10.20

019outdoor30:27 – 30:3710.0s490.10

020outdoor30:55 – 30:560.4s30.10

021intimate31:07 – 31:070.2s20.20

022night31:13 – 31:130.0s10.10

023outdoor31:28 – 31:280.0s10.00

024outdoor31:49 – 31:522.7s140.10

025outdoor32:15 – 32:150.0s10.00

026night32:39 – 32:412.9s150.86

027outdoor32:52 – 32:575.4s270.60

028general33:23 – 33:240.8s50.80

029night33:36 – 33:381.7s90.70

030general34:17 – 34:181.2s70.70

031outdoor34:24 – 34:294.6s230.98

032outdoor34:43 – 34:430.0s11.20

033fight34:47 – 34:480.2s20.90

034night35:01 – 35:031.5s80.10

035night35:50 – 36:5059.8s2880.14

036night38:53 – 39:0815.6s760.16

037night39:19 – 39:201.7s90.26

038indoor39:41 – 39:410.2s20.95

039night41:46 – 41:537.1s350.11

040general43:37 – 43:380.6s40.30

041intimate43:44 – 43:440.0s10.20

042night43:54 – 44:1319.2s930.10

043indoor46:53 – 46:551.5s81.57

044night48:30 – 49:3059.8s2880.39

045outdoor50:41 – 50:410.4s30.35

046outdoor51:31 – 51:354.2s210.19

047indoor52:21 – 52:210.0s11.60

048night52:26 – 52:260.6s40.59

049night52:33 – 52:385.0s250.00

050night55:53 – 56:5359.8s2880.10

051night1:00:49 – 1:00:490.0s10.30

052action_crowd1:02:37 – 1:02:370.0s11.50

053outdoor1:02:50 – 1:02:511.7s90.27

054general1:03:01 – 1:03:010.0s10.30

055outdoor1:03:21 – 1:03:210.0s10.20

056outdoor1:03:37 – 1:03:370.0s10.20

057outdoor1:03:47 – 1:03:470.0s10.10

058night1:04:04 – 1:04:040.2s20.15

059night1:04:14 – 1:05:0955.1s2650.38

060outdoor1:05:53 – 1:05:530.0s10.10

061outdoor1:06:01 – 1:06:020.6s40.15

062night1:06:14 – 1:06:140.0s10.40

063night1:06:20 – 1:06:3414.4s700.24

064night1:07:07 – 1:07:125.0s250.10

065outdoor1:07:21 – 1:07:210.0s10.10

066outdoor1:07:31 – 1:07:320.2s20.20

067night1:07:50 – 1:07:522.5s130.26

068night1:07:56 – 1:08:015.0s250.10

069night1:08:39 – 1:08:456.1s300.10

070night1:09:55 – 1:10:2833.2s1600.12

071indoor1:10:45 – 1:10:461.5s80.97

072night1:10:57 – 1:10:591.9s100.39

073intimate1:11:22 – 1:11:296.9s340.20

074outdoor1:12:00 – 1:12:000.0s10.10

075outdoor1:12:38 – 1:12:380.0s10.10

076outdoor1:13:23 – 1:13:306.3s310.10

077night1:16:31 – 1:17:3159.9s2880.28

078outdoor1:23:49 – 1:23:500.6s40.10

079night1:25:49 – 1:25:500.2s20.50

080outdoor1:27:43 – 1:27:507.5s370.10

081outdoor1:28:43 – 1:28:484.6s230.10

082outdoor1:28:58 – 1:28:580.0s10.00

083night1:30:27 – 1:30:335.4s270.10

084night1:32:05 – 1:32:1813.6s660.10

085night1:33:30 – 1:33:5625.9s1250.12

086night1:34:35 – 1:34:393.3s170.05

087outdoor1:34:53 – 1:34:540.6s40.50

088night1:34:58 – 1:35:3032.1s1550.05

089outdoor1:35:33 – 1:35:330.4s30.07

090indoor1:35:54 – 1:35:540.2s21.00

091outdoor1:37:03 – 1:37:030.0s10.10

092night1:37:08 – 1:37:4133.0s1590.09

093intimate1:37:46 – 1:37:460.0s10.10

094night1:37:52 – 1:38:0513.1s640.09

095night1:38:29 – 1:38:323.5s180.08

096night1:38:41 – 1:38:442.7s140.04

097outdoor1:39:00 – 1:39:011.5s80.07

098outdoor1:41:15 – 1:41:150.2s20.00

099night1:41:22 – 1:41:307.7s380.15

100night1:41:35 – 1:41:350.0s10.10