QuantCinemaCinema, decoded.
FilmsRankingsCompare
QuantCinema

AI-powered cinema analytics.

DISPATCH

Suggest a film · get notified when new data drops

© 2026 QuantCinema
DEEP DIVE · BATMAN-V-SUPERMAN-DAWN-OF-JUSTICE

The full breakdown

Detection, audio and scene analysis across every frame of Batman V Superman Dawn Of Justice — derived from object recognition, transcript alignment and shot segmentation.

← Back to Batman V Superman Dawn Of Justice
2016Action, Adventure, Fantasy182.6 min● analyzed Jun 12, 2026
Total Detections
112,002
objects + faces
Unique Objects
123
distinct types
Detections / min
613.5
avg rate
Night Scenes
56.9%
low-light frames
Words Spoken
7,610
transcribed
Named Actors
14
face-id matched
SCENE BREAKDOWN

Distribution by type

100 scenes·24 distinct types detected
Outdoor
Night
Suspense
Empty
Outdoor38.6%
Night28.7%
Suspense14.2%
Empty9.3%
Nature3.2%
Romantic2.9%
Action0.8%
Day0.8%
Action crowd0.4%
Intimate0.3%
General0.2%
Violent0.1%
Fight0.1%
Disaster0.1%
Indoor0.1%
Armed0.1%
Chase0.1%
Police chase0.0%
Fire0.0%
Substance use0.0%
Military0.0%
Sci fi0.0%
Creature0.0%
Large crowd0.0%
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.
Action
General high-motion footage that doesn’t fit a more specific subtype.
Day
Bright outdoor or daytime lighting.
Action crowd
High motion + high people density — riots, battles, action set pieces.
Intimate
Two-person framing, close shot, low motion, sustained dialogue.
General
Default bucket — frame did not match any specific scene type.
Violent
Weapons + impact events + blood-tone color flags.
Fight
Close-range physical combat — body contact, rapid pose changes.
Indoor
Interior locations — ceilings, walls, controlled lighting.
Armed
Firearms or bladed weapons detected in frame.
Chase
Sustained pursuit — high motion vectors + vehicles or running figures.
Police chase
Vehicles + emergency colors / sirens detected.
Fire
Flame, explosion, or extreme highlight clusters in warm hues.
Substance use
Smoking, drinking, or related object/gesture cues.
Military
Uniforms, ordnance, or military vehicles detected.
Sci fi
Out-of-distribution objects, synthetic environments, unusual color palettes.
Large crowd
Person count exceeds the high-density threshold — concerts, streets, stadia.
SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion
001night0:00 – 0:3535.0s1690.68
002outdoor5:32 – 5:408.6s420.05
003outdoor6:21 – 6:210.0s10.10
004night7:07 – 7:091.7s90.68
005outdoor7:47 – 8:0214.8s720.13
006day9:58 – 9:580.0s10.00
007outdoor12:33 – 12:352.1s110.20
008outdoor13:27 – 13:314.6s230.10
009night14:40 – 14:410.2s20.30
010outdoor16:15 – 16:150.4s30.13
011outdoor17:20 – 17:232.5s130.01
012outdoor18:38 – 18:380.0s10.10
013day20:59 – 20:590.4s30.00
014night24:17 – 24:170.0s10.40
015action29:26 – 29:260.0s11.10
016outdoor30:12 – 30:174.8s240.15
017night32:21 – 32:254.0s200.25
018night35:20 – 35:211.5s80.25
019night36:17 – 36:180.6s40.40
020indoor39:10 – 39:100.0s11.60
021night39:38 – 39:401.9s100.36
022action40:32 – 40:320.2s20.95
023night45:44 – 45:484.2s210.10
024outdoor48:16 – 48:171.5s80.10
025night50:14 – 50:150.6s40.70
026outdoor51:50 – 51:511.0s60.76
027night52:46 – 52:482.3s120.29
028night57:04 – 57:040.0s10.20
029outdoor58:09 – 58:090.0s10.00
030action_crowd1:01:05 – 1:01:050.0s11.20
031action1:01:21 – 1:01:210.0s11.30
032indoor1:01:40 – 1:01:400.0s11.30
033night1:05:41 – 1:05:442.7s140.15
034outdoor1:07:02 – 1:07:042.7s140.20
035outdoor1:08:39 – 1:08:390.0s10.00
036day1:09:26 – 1:09:281.2s70.10
037day1:09:43 – 1:09:430.0s10.10
038outdoor1:10:15 – 1:10:194.2s210.13
039night1:13:54 – 1:13:550.8s50.21
040outdoor1:15:50 – 1:15:500.0s10.10
041day1:16:32 – 1:16:320.4s30.03
042outdoor1:17:05 – 1:17:060.8s50.01
043outdoor1:17:48 – 1:17:491.5s80.26
044outdoor1:18:33 – 1:18:330.4s30.05
045night1:20:34 – 1:20:340.0s10.70
046outdoor1:23:14 – 1:23:140.4s30.10
047intimate1:23:48 – 1:23:480.0s10.20
048night1:26:43 – 1:26:430.0s10.30
049night1:28:30 – 1:28:344.2s210.35
050night1:31:53 – 1:31:530.2s20.90
051outdoor1:33:01 – 1:33:010.0s10.20
052night1:34:24 – 1:34:272.7s140.17
053night1:34:52 – 1:34:520.2s20.10
054night1:38:37 – 1:38:458.6s420.07
055outdoor1:40:15 – 1:40:205.6s280.40
056night1:42:17 – 1:42:213.5s180.20
057night1:48:46 – 1:48:471.0s60.40
058night1:49:50 – 1:49:510.2s20.05
059outdoor1:51:45 – 1:51:460.4s30.03
060outdoor1:57:22 – 1:57:231.7s90.15
061night1:58:52 – 1:58:563.1s160.28
062day2:00:52 – 2:00:520.0s10.20
063night2:02:09 – 2:02:145.0s250.10
064outdoor2:02:32 – 2:02:320.0s10.10
065outdoor2:03:35 – 2:03:350.0s10.10
066day2:04:04 – 2:04:040.2s20.05
067night2:04:51 – 2:04:587.1s350.03
068day2:05:28 – 2:05:280.2s20.05
069outdoor2:05:55 – 2:05:561.0s60.10
070night2:06:23 – 2:06:230.0s10.10
071outdoor2:08:11 – 2:08:110.0s10.20
072outdoor2:08:52 – 2:08:520.0s10.10
073outdoor2:11:26 – 2:11:260.0s10.10
074outdoor2:15:03 – 2:15:030.4s30.13
075outdoor2:16:37 – 2:16:370.0s10.10
076day2:19:23 – 2:19:251.5s80.00
077night2:21:12 – 2:21:2412.1s590.03
078outdoor2:21:58 – 2:21:590.6s40.10
079night2:22:37 – 2:22:381.2s70.00
080outdoor2:24:12 – 2:24:120.2s20.20
081night2:24:41 – 2:24:431.9s100.08
082outdoor2:25:02 – 2:25:030.8s50.03
083night2:27:10 – 2:27:2212.1s590.10
084night2:28:21 – 2:29:0140.2s1940.11
085outdoor2:29:52 – 2:29:520.0s10.10
086night2:30:34 – 2:30:351.0s60.00
087outdoor2:31:07 – 2:31:070.4s30.07
088outdoor2:32:27 – 2:32:270.0s10.10
089night2:32:40 – 2:32:421.7s90.01
090night2:33:32 – 2:33:320.4s30.07
091outdoor2:34:28 – 2:34:280.0s10.10
092outdoor2:35:46 – 2:35:471.0s60.00
093night2:36:46 – 2:36:471.2s70.06
094day2:37:37 – 2:37:370.0s10.10
095outdoor2:37:57 – 2:37:570.0s10.00
096outdoor2:38:27 – 2:38:292.1s110.10
097outdoor2:38:42 – 2:38:420.0s10.10
098night2:43:05 – 2:43:083.3s170.00
099night2:46:42 – 2:46:420.6s40.56
100night2:51:01 – 2:51:053.5s180.10