QuantCinemaCinema, decoded.

DEEP DIVE · AVATAR

The full breakdown

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

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2009Sci-Fi, Action, Adventure178.2 min● analyzed Jun 8, 2026

Total Detections

104,651

objects + faces

Unique Objects

118

distinct types

Detections / min

587.4

avg rate

Night Scenes

23.3%

low-light frames

Words Spoken

7,286

transcribed

Named Actors

10

face-id matched

SCENE BREAKDOWN

Distribution by type

100 scenes·22 distinct types detected

Outdoor

Night

Empty

Nature

Outdoor41.5%

Night21.9%

Empty13.1%

Nature10.0%

Suspense5.6%

Romantic5.2%

Action0.6%

Day0.5%

General0.3%

Sci fi0.3%

Intimate0.2%

Violent0.2%

Action crowd0.2%

Armed0.1%

Fight0.1%

Fire0.1%

Military0.1%

Disaster0.0%

Creature0.0%

Indoor0.0%

Aerial0.0%

Police chase0.0%

GLOSSARY

What each label means

Outdoor

Exterior locations — sky, open ground, natural light.

Night

Dark or nighttime lighting — mean luminance below 0.25.

Empty

No faces, low motion, no salient objects — establishing or transitional.

Nature

Outdoor scenes with dominant foliage, water, or terrain — no urban geometry.

Suspense

Low motion + dark frame + low dialogue density — held tension.

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.

General

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

Sci fi

Out-of-distribution objects, synthetic environments, unusual color palettes.

Intimate

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

Violent

Weapons + impact events + blood-tone color flags.

Action crowd

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

Armed

Firearms or bladed weapons detected in frame.

Fight

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

Fire

Flame, explosion, or extreme highlight clusters in warm hues.

Military

Uniforms, ordnance, or military vehicles detected.

Indoor

Interior locations — ceilings, walls, controlled lighting.

Aerial

Bird’s-eye / drone shots — high vanishing point, low parallax.

Police chase

Vehicles + emergency colors / sirens detected.

SCENE LIST

100 sampled scenes · spread across runtime

#TypeRangeDurationFramesMotion

001night0:00 – 0:011.0s60.00

002intimate1:45 – 1:450.2s20.20

003outdoor3:18 – 3:234.2s210.09

004night5:24 – 5:5429.6s1430.10

005general7:57 – 7:570.2s20.45

006outdoor9:58 – 10:1617.5s850.26

007outdoor11:18 – 11:212.7s141.13

008night13:16 – 13:236.2s310.30

009night14:53 – 15:0410.6s520.90

010general15:58 – 15:590.2s20.40

011general16:28 – 16:280.2s20.75

012general16:56 – 16:560.0s10.80

013general17:22 – 17:230.6s40.75

014outdoor18:29 – 18:290.0s10.20

015night19:31 – 19:320.8s50.30

016outdoor20:24 – 20:250.8s50.22

017outdoor21:21 – 21:210.0s10.10

018outdoor22:40 – 22:400.0s10.10

019night28:02 – 28:052.7s140.20

020outdoor29:33 – 29:330.2s20.30

021night31:22 – 31:231.0s60.10

022outdoor34:37 – 34:391.5s80.10

023night36:08 – 36:091.0s60.06

024outdoor38:35 – 38:393.5s180.20

025night40:11 – 40:164.8s240.10

026outdoor40:57 – 40:570.0s10.10

027night51:10 – 51:188.3s410.24

028outdoor55:35 – 55:350.4s30.85

029general56:20 – 56:200.0s10.70

030outdoor58:28 – 58:280.0s10.20

031night1:00:30 – 1:00:310.6s40.07

032day1:02:15 – 1:02:205.2s260.13

033outdoor1:04:37 – 1:04:370.0s10.30

034night1:06:03 – 1:06:052.3s120.00

035night1:07:03 – 1:07:2925.9s1250.12

036night1:08:57 – 1:09:0811.5s560.20

037outdoor1:10:56 – 1:10:560.2s20.20

038outdoor1:15:29 – 1:15:333.3s170.15

039outdoor1:21:58 – 1:22:4244.0s2120.01

040outdoor1:24:11 – 1:24:4634.6s1670.32

041night1:27:00 – 1:27:000.0s10.00

042outdoor1:28:28 – 1:28:280.2s20.00

043night1:28:50 – 1:28:500.0s10.10

044general1:31:12 – 1:31:152.5s130.43

045outdoor1:33:34 – 1:33:384.0s200.83

046night1:35:43 – 1:35:440.4s30.20

047outdoor1:38:23 – 1:38:241.2s70.20

048outdoor1:39:59 – 1:40:1313.6s660.23

049outdoor1:41:39 – 1:41:390.2s20.20

050night1:42:43 – 1:42:452.3s120.09

051outdoor1:43:29 – 1:43:290.4s30.28

052outdoor1:44:08 – 1:44:113.1s160.10

053general1:45:07 – 1:45:070.0s10.80

054night1:46:20 – 1:46:200.2s20.80

055outdoor1:47:19 – 1:47:190.4s30.28

056night1:48:49 – 1:48:512.5s130.26

057night1:49:48 – 1:49:5810.4s510.10

058outdoor1:51:14 – 1:51:140.2s20.15

059day1:52:33 – 1:52:330.2s20.25

060night1:53:58 – 1:54:001.9s100.18

061night1:55:10 – 1:55:100.8s50.11

062outdoor1:56:31 – 1:56:4513.8s670.05

063outdoor1:58:07 – 1:58:091.9s100.52

064night1:59:05 – 1:59:093.3s170.40

065outdoor2:00:32 – 2:00:320.0s10.20

066night2:01:41 – 2:01:487.3s360.56

067night2:02:45 – 2:02:460.6s40.23

068general2:03:34 – 2:03:340.0s10.40

069outdoor2:04:42 – 2:04:420.0s10.10

070night2:07:27 – 2:07:5023.4s1130.05

071outdoor2:09:19 – 2:09:200.4s30.17

072night2:11:15 – 2:11:183.3s170.10

073outdoor2:13:15 – 2:13:161.0s60.14

074outdoor2:14:03 – 2:14:030.6s40.09

075outdoor2:15:04 – 2:15:073.1s160.06

076outdoor2:17:34 – 2:17:340.0s10.10

077night2:22:58 – 2:23:023.5s180.10

078outdoor2:25:48 – 2:25:491.0s60.12

079outdoor2:27:10 – 2:27:122.1s110.04

080night2:28:47 – 2:28:480.4s30.07

081outdoor2:29:26 – 2:29:260.0s10.00

082day2:30:47 – 2:30:480.4s30.15

083outdoor2:31:57 – 2:31:570.2s20.10

084intimate2:33:39 – 2:33:390.0s10.20

085night2:35:00 – 2:35:000.2s20.10

086outdoor2:35:28 – 2:35:280.2s20.10

087night2:36:42 – 2:36:420.6s40.16

088night2:37:54 – 2:37:551.0s60.35

089outdoor2:39:05 – 2:39:050.0s10.00

090outdoor2:39:37 – 2:39:370.0s10.10

091night2:40:29 – 2:40:301.2s70.01

092outdoor2:40:57 – 2:41:035.6s280.00

093night2:41:54 – 2:41:551.0s60.10

094outdoor2:42:17 – 2:42:170.2s20.05

095night2:42:47 – 2:42:480.8s50.15

096night2:43:30 – 2:43:310.2s20.05

097outdoor2:44:07 – 2:44:081.5s80.14

098night2:45:01 – 2:45:032.5s130.10

099night2:47:10 – 2:47:122.5s130.06

100outdoor2:50:37 – 2:50:391.9s100.11