QuantCinemaCinema, decoded.
FilmsRankingsCompare
QuantCinema

AI-powered cinema analytics.

DISPATCH

Suggest a film · get notified when new data drops

© 2026 QuantCinema
DEEP DIVE · AVENGERS-INFINITY-WAR

The full breakdown

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

← Back to Avengers Infinity War
2018Adventure, Action, Sci-Fi149.4 min● analyzed Jun 5, 2026
Total Detections
70,487
objects + faces
Unique Objects
110
distinct types
Detections / min
471.9
avg rate
Night Scenes
51.9%
low-light frames
Words Spoken
7,147
transcribed
Named Actors
13
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·23 distinct types detected
Outdoor
Night
Suspense
Empty
Outdoor39.2%
Night25.6%
Suspense13.9%
Empty10.4%
Nature4.7%
Romantic4.3%
Day0.8%
Intimate0.2%
Violent0.2%
Action0.2%
Armed0.1%
General0.1%
Chase0.1%
Fire0.1%
Police chase0.1%
Action crowd0.1%
Indoor0.0%
Disaster0.0%
Military0.0%
Fight0.0%
Creature0.0%
Vehicle heavy0.0%
Sci fi0.0%
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.
Nature
Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.
Romantic
Two-person framing with warm color flag + low motion + close proximity.
Day
Bright outdoor or daytime lighting.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
Violent
Weapons + impact events + blood-tone color flags.
Action
General high-motion footage that doesn’t fit a more specific subtype.
Armed
Firearms or bladed weapons detected in frame.
General
Default bucket — frame did not match any specific scene type.
Chase
Sustained pursuit — high motion vectors + vehicles or running figures.
Fire
Flame, explosion, or extreme highlight clusters in warm hues.
Police chase
Vehicles + emergency colors / sirens detected.
Action crowd
High motion + high people density — riots, battles, action set pieces.
Indoor
Interior locations — ceilings, walls, controlled lighting.
Military
Uniforms, ordnance, or military vehicles detected.
Fight
Close-range physical combat — body contact, rapid pose changes.
Vehicle heavy
Three or more vehicle instances in sustained shots.
Sci fi
Out-of-distribution objects, synthetic environments, unusual color palettes.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:1010.6s520.01
002outdoor0:20 – 0:210.8s50.12
003night2:17 – 2:225.0s250.13
004night4:12 – 5:0956.3s2710.05
005night6:47 – 7:0720.4s990.20
006night10:08 – 10:124.2s210.00
007day10:29 – 10:312.3s120.00
008outdoor11:36 – 12:3659.9s2880.20
009day18:02 – 18:020.0s10.10
010night18:32 – 18:330.2s20.15
011empty18:47 – 18:470.4s30.40
012day21:14 – 21:140.2s20.05
013general21:55 – 21:550.0s10.30
014outdoor22:14 – 22:227.9s390.11
015outdoor23:19 – 23:190.0s10.30
016day24:15 – 24:160.4s30.10
017outdoor24:41 – 24:486.9s340.10
018night25:26 – 25:271.7s90.01
019night25:46 – 25:470.8s50.10
020outdoor26:33 – 26:407.1s350.01
021night27:36 – 27:360.0s10.00
022outdoor31:21 – 31:242.7s140.10
023night35:51 – 36:5159.8s2880.20
024outdoor39:32 – 39:330.8s50.14
025day42:42 – 42:420.0s10.10
026outdoor43:14 – 43:4126.9s1300.68
027night47:08 – 48:0859.9s2880.25
028night51:30 – 51:344.4s220.17
029night52:03 – 52:040.8s50.10
030outdoor52:23 – 52:252.3s120.10
031night53:36 – 53:360.6s40.10
032outdoor54:06 – 54:060.0s10.00
033outdoor54:41 – 54:454.4s220.20
034night55:46 – 55:460.4s30.57
035general56:14 – 56:140.2s20.35
036outdoor56:40 – 56:432.9s150.10
037indoor57:38 – 57:402.5s131.52
038night1:02:14 – 1:03:1459.8s2880.17
039night1:14:27 – 1:14:292.5s130.00
040night1:18:34 – 1:18:340.2s20.00
041night1:19:44 – 1:20:4459.9s2880.35
042night1:22:54 – 1:23:0511.3s550.38
043night1:27:09 – 1:28:0959.8s2880.10
044night1:31:19 – 1:31:223.1s160.21
045outdoor1:32:32 – 1:32:330.4s30.20
046outdoor1:33:36 – 1:33:371.0s60.04
047night1:34:09 – 1:34:101.0s60.00
048outdoor1:35:04 – 1:35:051.5s80.15
049night1:35:56 – 1:35:570.2s20.10
050outdoor1:36:58 – 1:36:590.6s40.11
051day1:37:54 – 1:37:550.4s30.10
052outdoor1:39:19 – 1:39:222.7s140.14
053day1:39:50 – 1:39:510.4s30.17
054day1:40:25 – 1:40:261.0s60.18
055outdoor1:41:54 – 1:41:561.9s100.10
056night1:42:44 – 1:42:440.0s10.00
057outdoor1:43:17 – 1:43:170.0s10.00
058night1:44:05 – 1:44:071.5s80.10
059outdoor1:44:36 – 1:44:360.0s10.10
060day1:44:51 – 1:44:510.2s20.10
061day1:45:18 – 1:45:180.4s30.00
062outdoor1:45:53 – 1:45:563.6s180.00
063outdoor1:48:32 – 1:48:320.4s30.00
064night1:48:52 – 1:48:520.0s10.10
065night1:49:07 – 1:49:080.4s30.10
066outdoor1:49:30 – 1:49:300.6s40.05
067outdoor1:50:01 – 1:50:010.0s10.20
068outdoor1:50:19 – 1:50:190.4s30.10
069night1:50:42 – 1:50:464.4s220.15
070outdoor1:51:20 – 1:51:255.0s250.20
071night1:52:08 – 1:52:090.6s40.20
072outdoor1:52:28 – 1:52:335.6s280.12
073night1:53:04 – 1:53:083.5s180.14
074day1:53:38 – 1:53:391.7s90.06
075outdoor1:55:21 – 1:55:221.2s70.10
076day1:55:57 – 1:55:580.8s50.06
077night1:56:30 – 1:56:300.0s10.00
078outdoor1:57:02 – 1:57:086.1s300.10
079night1:57:34 – 1:57:340.0s10.10
080outdoor1:57:57 – 1:57:581.5s80.13
081night1:58:24 – 1:58:250.6s40.00
082outdoor1:58:57 – 1:58:591.9s100.08
083outdoor1:59:26 – 1:59:260.0s10.10
084night2:00:05 – 2:00:082.7s140.10
085outdoor2:00:38 – 2:00:390.4s30.10
086night2:01:03 – 2:01:085.4s270.13
087outdoor2:01:29 – 2:01:367.3s360.18
088outdoor2:02:59 – 2:03:044.8s240.16
089night2:03:52 – 2:03:586.1s300.10
090night2:04:27 – 2:04:270.2s20.20
091outdoor2:05:28 – 2:05:4314.6s710.11
092day2:06:49 – 2:06:490.2s20.05
093outdoor2:07:25 – 2:07:349.2s450.10
094night2:09:01 – 2:09:020.8s50.13
095outdoor2:10:20 – 2:10:210.6s40.10
096night2:12:58 – 2:12:580.4s30.20
097night2:14:40 – 2:14:400.0s10.20
098outdoor2:16:44 – 2:16:5410.2s500.00
099general2:27:41 – 2:27:410.0s10.70
100outdoor2:28:07 – 2:28:1810.6s520.68