QuantCinemaCinema, decoded.
FilmsRankingsCompare
QuantCinema

AI-powered cinema analytics.

DISPATCH

Suggest a film · get notified when new data drops

© 2026 QuantCinema
DEEP DIVE · THE-HANGOVER

The full breakdown

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

← Back to The Hangover
2009Comedy107.9 min● analyzed May 14, 2026
Total Detections
116,342
objects + faces
Unique Objects
76
distinct types
Detections / min
1078.3
avg rate
Night Scenes
94.4%
low-light frames
Words Spoken
12,250
transcribed
Named Actors
15
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·17 distinct types detected
Outdoor
Night
Suspense
Outdoor36.4%
Night36.2%
Suspense11.6%
Romantic5.6%
Empty3.8%
Nature1.4%
Action1.3%
Police chase0.7%
Action crowd0.6%
Fight0.5%
Indoor0.5%
Intimate0.4%
Chase0.4%
General0.3%
Substance use0.2%
Armed0.0%
Vehicle heavy0.0%
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.
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.
Police chase
Vehicles + emergency colors / sirens detected.
Action crowd
High motion + high people density — riots, battles, action set pieces.
Fight
Close-range physical combat — body contact, rapid pose changes.
Indoor
Interior locations — ceilings, walls, controlled lighting.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Chase
Sustained pursuit — high motion vectors + vehicles or running figures.
General
Default bucket — frame did not match any specific scene type.
Substance use
Smoking, drinking, or related object/gesture cues.
Armed
Firearms or bladed weapons detected in frame.
Vehicle heavy
Three or more vehicle instances in sustained shots.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:033.3s170.10
002empty0:48 – 0:480.2s20.30
003night1:01 – 1:010.0s10.80
004outdoor1:39 – 1:401.7s90.54
005outdoor2:07 – 2:070.2s20.20
006outdoor2:22 – 2:242.1s110.00
007outdoor7:16 – 7:181.9s100.00
008night12:06 – 12:071.0s60.29
009night12:23 – 12:274.2s210.36
010night12:40 – 12:400.0s10.20
011night12:46 – 12:482.3s120.21
012night13:05 – 13:050.0s10.20
013outdoor13:17 – 13:170.2s20.30
014outdoor13:38 – 13:380.0s10.30
015outdoor14:11 – 14:110.0s10.10
016night15:49 – 16:0516.1s780.26
017night16:22 – 17:2259.9s2880.32
018night18:57 – 19:1820.4s990.62
019night20:21 – 20:210.2s20.50
020outdoor23:03 – 23:052.1s110.00
021outdoor28:26 – 28:260.0s10.10
022indoor28:45 – 28:450.0s10.70
023outdoor33:54 – 33:540.2s20.50
024action34:01 – 34:020.8s51.09
025night34:09 – 34:177.7s380.48
026outdoor34:26 – 34:270.6s40.35
027outdoor34:34 – 34:340.2s20.40
028fight34:48 – 34:480.4s31.40
029general34:56 – 34:560.2s20.65
030outdoor35:02 – 35:020.0s10.20
031indoor35:12 – 35:120.0s11.40
032night35:15 – 35:160.6s41.39
033outdoor35:20 – 35:221.9s100.03
034action35:30 – 35:321.7s91.24
035general35:57 – 35:570.0s10.80
036outdoor36:18 – 36:191.0s60.49
037night38:22 – 38:4320.8s1010.10
038outdoor39:08 – 39:080.0s10.20
039night39:31 – 39:320.8s50.29
040night39:39 – 39:412.1s110.30
041night40:09 – 40:145.0s250.53
042night40:53 – 40:562.9s150.27
043general41:42 – 41:431.2s70.56
044night42:53 – 43:006.7s330.30
045night44:10 – 44:100.6s40.11
046outdoor46:12 – 46:120.2s20.15
047outdoor47:30 – 47:311.2s70.37
048outdoor48:12 – 48:120.0s10.20
049night50:06 – 50:071.5s81.20
050night50:11 – 50:3423.1s1120.38
051outdoor51:28 – 51:290.6s40.79
052general51:42 – 51:430.2s20.35
053outdoor52:05 – 52:084.0s200.20
054indoor52:23 – 52:230.0s11.20
055indoor52:36 – 52:371.0s61.05
056indoor52:46 – 52:471.5s81.41
057outdoor55:08 – 55:080.0s10.20
058indoor55:33 – 55:340.4s31.77
059indoor56:27 – 56:280.4s31.35
060outdoor56:54 – 56:572.3s120.25
061outdoor58:09 – 58:101.9s100.20
062outdoor58:29 – 58:311.7s90.39
063night59:36 – 59:360.0s10.10
064night59:59 – 59:590.0s10.10
065night1:00:21 – 1:00:210.4s30.10
066night1:00:40 – 1:00:411.0s60.25
067night1:01:11 – 1:01:120.4s30.17
068outdoor1:01:56 – 1:01:570.2s20.10
069outdoor1:02:15 – 1:02:194.6s230.25
070outdoor1:03:05 – 1:03:061.0s60.44
071outdoor1:04:16 – 1:04:171.0s60.10
072indoor1:06:47 – 1:06:480.6s40.70
073indoor1:06:59 – 1:06:590.0s10.90
074intimate1:08:54 – 1:08:561.5s80.10
075night1:10:53 – 1:11:017.3s360.29
076outdoor1:15:01 – 1:15:020.6s40.19
077indoor1:19:05 – 1:19:050.0s10.60
078outdoor1:20:10 – 1:20:100.2s20.00
079general1:20:51 – 1:20:510.0s10.30
080outdoor1:20:56 – 1:20:560.0s10.00
081outdoor1:21:13 – 1:21:151.5s80.01
082night1:21:55 – 1:21:550.8s50.10
083outdoor1:24:04 – 1:24:061.9s100.17
084night1:25:42 – 1:25:420.6s40.35
085outdoor1:26:38 – 1:26:401.9s100.25
086outdoor1:27:16 – 1:27:215.4s270.57
087night1:29:14 – 1:29:140.0s10.10
088night1:29:44 – 1:30:3954.8s2640.32
089night1:31:01 – 1:31:010.0s10.10
090outdoor1:31:56 – 1:31:570.2s20.10
091outdoor1:32:36 – 1:32:360.4s30.28
092outdoor1:34:16 – 1:34:170.8s50.20
093outdoor1:34:32 – 1:34:352.7s140.10
094outdoor1:34:57 – 1:34:591.9s100.11
095outdoor1:35:11 – 1:35:153.8s190.28
096outdoor1:35:52 – 1:35:575.0s250.15
097outdoor1:36:04 – 1:36:072.5s130.51
098indoor1:36:16 – 1:36:170.6s41.14
099night1:39:04 – 1:39:1713.1s641.31
100night1:39:40 – 1:40:4059.8s2882.11