QuantCinemaCinema, decoded.
FilmsRankingsCompare
QuantCinema

AI-powered cinema analytics.

DISPATCH

Suggest a film · get notified when new data drops

© 2026 QuantCinema
DEEP DIVE · GOODFELLAS

The full breakdown

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

← Back to Goodfellas
1990Drama, Crime145.5 min● analyzed May 19, 2026
Total Detections
166,840
objects + faces
Unique Objects
80
distinct types
Detections / min
1147.0
avg rate
Night Scenes
90.7%
low-light frames
Words Spoken
19,533
transcribed
Named Actors
15
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·17 distinct types detected
Outdoor
Night
Suspense
Outdoor35.7%
Night34.4%
Suspense11.2%
Empty4.9%
Romantic3.5%
Action2.8%
Fight1.4%
Nature1.1%
Substance use1.1%
Indoor0.8%
General0.8%
Intimate0.7%
Chase0.5%
Police chase0.4%
Action crowd0.3%
Armed0.1%
Day0.1%
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.
Action
General high-motion footage that doesn’t fit a more specific subtype.
Fight
Close-range physical combat — body contact, rapid pose changes.
Nature
Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.
Substance use
Smoking, drinking, or related object/gesture cues.
Indoor
Interior locations — ceilings, walls, controlled lighting.
General
Default bucket — frame did not match any specific scene type.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Chase
Sustained pursuit — high motion vectors + vehicles or running figures.
Police chase
Vehicles + emergency colors / sirens detected.
Action crowd
High motion + high people density — riots, battles, action set pieces.
Armed
Firearms or bladed weapons detected in frame.
Day
Bright outdoor or daytime lighting.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:022.3s120.00
002night4:30 – 4:300.4s30.47
003outdoor4:52 – 4:564.4s220.41
004night5:35 – 5:350.0s11.10
005outdoor5:54 – 5:562.7s140.11
006general6:45 – 6:450.0s10.30
007night7:16 – 7:181.9s100.49
008outdoor8:18 – 8:180.0s10.70
009outdoor8:28 – 8:312.5s130.22
010night9:08 – 9:4638.2s1840.18
011outdoor10:17 – 10:235.6s280.23
012night13:20 – 13:222.7s140.10
013night15:17 – 15:192.3s121.06
014night17:39 – 17:488.8s430.38
015outdoor25:59 – 25:590.4s30.50
016night26:41 – 26:431.7s90.73
017night31:09 – 31:111.5s80.10
018outdoor32:29 – 32:300.4s30.33
019outdoor35:04 – 35:040.2s20.10
020outdoor35:54 – 35:540.0s10.80
021indoor36:02 – 36:020.2s21.90
022general36:16 – 36:160.0s10.50
023outdoor37:24 – 37:272.3s120.09
024night39:41 – 39:410.6s40.45
025night40:14 – 40:162.3s120.10
026outdoor40:48 – 40:490.6s40.25
027intimate41:11 – 41:110.0s10.20
028indoor41:40 – 41:434.0s201.64
029night42:49 – 43:0516.5s800.60
030outdoor44:10 – 44:110.6s40.53
031night44:38 – 44:380.0s10.60
032indoor45:12 – 45:120.0s11.20
033general45:55 – 45:550.0s10.70
034general46:09 – 46:166.7s330.48
035outdoor46:58 – 46:580.0s10.10
036night47:59 – 48:5859.8s2880.15
037general50:07 – 50:070.0s10.30
038outdoor50:46 – 50:525.8s292.14
039night53:48 – 54:4759.8s2880.36
040night56:20 – 57:2059.8s2880.06
041general1:02:32 – 1:02:330.2s20.80
042indoor1:05:15 – 1:05:150.0s11.00
043fight1:06:46 – 1:06:460.0s11.10
044general1:07:02 – 1:07:020.0s10.30
045night1:08:43 – 1:09:0723.8s1150.88
046intimate1:12:48 – 1:12:480.4s30.20
047outdoor1:13:01 – 1:13:020.4s30.20
048outdoor1:16:14 – 1:16:172.7s140.67
049night1:17:30 – 1:17:354.8s240.10
050night1:19:20 – 1:19:200.4s30.57
051night1:21:44 – 1:21:440.0s10.50
052indoor1:21:57 – 1:22:025.6s281.32
053night1:22:26 – 1:22:260.0s11.30
054outdoor1:23:36 – 1:23:360.6s40.00
055night1:24:02 – 1:24:020.0s11.30
056action1:25:07 – 1:25:070.4s30.90
057empty1:26:05 – 1:26:050.6s40.46
058outdoor1:28:14 – 1:28:140.0s10.30
059night1:30:03 – 1:30:128.8s430.20
060intimate1:31:26 – 1:31:260.0s10.20
061outdoor1:32:15 – 1:32:150.6s40.30
062outdoor1:32:29 – 1:32:300.8s50.64
063night1:37:33 – 1:37:4511.5s560.24
064general1:38:58 – 1:39:001.5s80.32
065outdoor1:43:13 – 1:43:140.4s30.33
066outdoor1:47:43 – 1:47:451.5s80.25
067intimate1:49:44 – 1:49:440.2s20.20
068outdoor1:51:07 – 1:51:080.4s30.60
069outdoor1:52:15 – 1:52:2914.6s710.66
070night1:53:18 – 1:53:180.2s20.10
071outdoor1:53:59 – 1:54:000.6s40.11
072outdoor1:54:42 – 1:54:463.6s180.39
073outdoor1:55:25 – 1:55:250.4s30.53
074outdoor1:55:39 – 1:55:5717.9s870.10
075general1:56:14 – 1:56:150.8s50.56
076substance_use1:56:33 – 1:56:330.0s10.80
077outdoor1:56:59 – 1:57:078.1s400.10
078outdoor1:57:33 – 1:57:4410.9s530.69
079night1:58:10 – 1:58:110.4s30.30
080outdoor1:59:19 – 1:59:190.0s10.10
081outdoor1:59:55 – 1:59:550.4s30.25
082night2:00:27 – 2:00:4316.5s800.10
083indoor2:01:25 – 2:01:250.0s11.40
084outdoor2:03:36 – 2:03:381.3s70.10
085fight2:04:12 – 2:04:120.6s41.06
086night2:04:21 – 2:04:231.7s90.15
087night2:04:38 – 2:04:424.4s220.21
088outdoor2:06:45 – 2:06:450.2s20.10
089outdoor2:08:45 – 2:08:526.9s340.15
090night2:11:29 – 2:11:333.8s190.10
091indoor2:12:58 – 2:12:580.2s20.75
092indoor2:14:58 – 2:14:580.2s20.95
093general2:15:15 – 2:15:160.2s20.55
094indoor2:15:29 – 2:15:301.0s60.60
095general2:15:47 – 2:15:480.2s20.50
096general2:16:01 – 2:16:010.0s10.30
097general2:16:15 – 2:16:194.4s220.70
098general2:16:30 – 2:16:355.0s250.45
099indoor2:16:57 – 2:16:570.2s20.65
100general2:17:23 – 2:17:285.8s290.65