QuantCinemaCinema, decoded.

DEEP DIVE · ARRIVAL

The full breakdown

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

← Back to Arrival

2016Drama, Sci-Fi, Mystery116.4 min● analyzed May 14, 2026

Total Detections

80,598

objects + faces

Unique Objects

67

distinct types

Detections / min

692.5

avg rate

Night Scenes

81.7%

low-light frames

Words Spoken

5,097

transcribed

Named Actors

12

face-id matched

SCENE BREAKDOWN

Distribution by type

100 scenes·17 distinct types detected

Outdoor

Night

Suspense

Empty

Outdoor34.5%

Night28.4%

Suspense13.8%

Empty10.3%

Nature5.9%

Romantic2.1%

Day1.4%

Action1.2%

Intimate0.9%

Indoor0.5%

Fight0.3%

Action crowd0.3%

General0.2%

Chase0.1%

Police chase0.1%

Substance use0.0%

Armed0.0%

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.

Action

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

Intimate

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

Indoor

Interior locations — ceilings, walls, controlled lighting.

Fight

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

Action crowd

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

General

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

Chase

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

Police chase

Vehicles + emergency colors / sirens detected.

Substance use

Smoking, drinking, or related object/gesture cues.

Armed

Firearms or bladed weapons detected in frame.

SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion

001night0:00 – 0:1313.3s650.23

002outdoor0:23 – 0:230.6s40.00

003night0:39 – 0:433.8s190.00

004night0:45 – 0:450.2s20.00

005outdoor0:50 – 0:500.0s10.00

006indoor1:45 – 1:450.0s10.60

007outdoor1:55 – 2:015.6s280.10

008night2:13 – 2:130.0s10.00

009night2:27 – 2:303.1s160.10

010night2:46 – 2:493.1s160.10

011outdoor3:30 – 3:322.3s120.10

012night5:25 – 5:250.2s21.40

013night5:29 – 5:290.0s11.20

014indoor5:36 – 5:370.4s31.23

015indoor5:54 – 5:540.0s11.50

016outdoor6:14 – 6:161.5s80.10

017night8:00 – 8:011.0s60.50

018night8:20 – 8:200.0s10.40

019night8:27 – 8:270.0s10.40

020night10:02 – 10:063.3s170.05

021intimate10:30 – 10:300.0s10.20

022night10:44 – 10:539.2s450.62

023general11:06 – 11:104.2s210.50

024intimate11:56 – 11:593.1s160.20

025general12:23 – 12:230.0s10.30

026intimate12:27 – 12:270.0s10.20

027general12:35 – 12:350.0s10.30

028outdoor12:42 – 12:420.2s20.10

029intimate12:47 – 12:525.0s250.20

030general13:41 – 13:420.4s30.30

031indoor13:54 – 13:550.4s30.65

032night14:04 – 14:084.4s220.56

033night15:33 – 16:3259.9s2880.30

034night18:51 – 19:2634.6s1670.30

035night19:57 – 19:592.5s131.03

036outdoor23:03 – 23:139.8s480.67

037outdoor24:09 – 24:155.4s270.41

038night27:40 – 28:4059.9s2880.10

039night31:07 – 31:2517.5s850.28

040outdoor33:29 – 33:322.1s110.29

041outdoor33:50 – 33:510.2s20.20

042night35:58 – 36:5859.9s2880.34

043outdoor37:59 – 38:001.2s70.01

044outdoor38:48 – 38:5910.8s530.00

045night42:59 – 43:3333.6s1620.30

046night44:18 – 44:3415.9s770.01

047night45:20 – 45:3818.4s890.30

048outdoor46:05 – 46:2116.1s780.10

049outdoor46:51 – 47:019.8s480.23

050outdoor47:35 – 47:427.1s350.35

051outdoor48:19 – 48:3717.1s830.20

052night49:02 – 50:0259.8s2880.16

053outdoor51:58 – 52:002.5s130.10

054outdoor52:12 – 52:120.0s10.00

055night54:24 – 54:316.2s310.20

056night55:34 – 55:416.5s320.00

057outdoor57:37 – 57:370.2s20.25

058outdoor59:26 – 59:260.2s20.05

059outdoor59:38 – 59:380.0s10.30

060outdoor1:01:07 – 1:01:070.2s20.10

061general1:03:01 – 1:03:021.0s60.30

062outdoor1:05:37 – 1:05:457.7s380.13

063outdoor1:06:21 – 1:06:275.4s270.17

064night1:06:40 – 1:06:5616.5s800.27

065night1:09:34 – 1:10:1035.9s1730.25

066general1:10:12 – 1:10:120.0s10.30

067night1:11:54 – 1:11:573.3s170.10

068night1:12:43 – 1:12:528.8s430.31

069night1:13:33 – 1:13:385.0s250.10

070outdoor1:14:28 – 1:14:4012.1s590.20

071outdoor1:15:00 – 1:15:022.3s120.03

072outdoor1:15:52 – 1:15:520.2s20.00

073night1:17:56 – 1:18:1620.0s970.63

074outdoor1:19:40 – 1:19:477.5s370.58

075indoor1:19:51 – 1:19:510.0s10.70

076outdoor1:20:16 – 1:20:170.4s30.20

077night1:22:27 – 1:23:2759.9s2881.20

078night1:24:55 – 1:25:2126.1s1260.30

079night1:26:12 – 1:26:2311.3s550.10

080outdoor1:26:46 – 1:26:5913.4s650.10

081day1:28:17 – 1:29:0951.3s2470.10

082day1:30:03 – 1:30:1310.2s500.10

083outdoor1:30:59 – 1:31:022.9s150.10

084day1:31:35 – 1:31:371.5s80.01

085night1:32:05 – 1:32:1812.9s630.20

086outdoor1:33:33 – 1:33:4814.8s720.20

087outdoor1:35:37 – 1:35:414.6s230.00

088intimate1:36:05 – 1:36:050.0s10.10

089outdoor1:36:08 – 1:36:102.9s150.07

090outdoor1:37:52 – 1:37:541.7s90.23

091outdoor1:38:01 – 1:38:020.6s40.10

092night1:38:07 – 1:38:091.0s60.23

093night1:40:10 – 1:41:1059.9s2880.05

094outdoor1:42:28 – 1:42:291.9s100.10

095outdoor1:44:44 – 1:44:528.3s410.00

096outdoor1:46:38 – 1:46:434.2s210.09

097outdoor1:47:14 – 1:47:150.8s50.10

098night1:49:57 – 1:49:570.2s20.15

099night1:50:19 – 1:50:201.0s60.20

100outdoor1:53:45 – 1:54:4559.9s2880.00