QuantCinemaCinema, decoded.

DEEP DIVE · GREENLAND-2-MIGRATION

The full breakdown

Detection, audio and scene analysis across every frame of Greenland 2 Migration — derived from object recognition, transcript alignment and shot segmentation.

← Back to Greenland 2 Migration

2026Adventure, Thriller, Sci-Fi98 min● analyzed May 15, 2026

Total Detections

60,707

objects + faces

Unique Objects

76

distinct types

Detections / min

619.6

avg rate

Night Scenes

83.1%

low-light frames

Words Spoken

4,688

transcribed

Named Actors

14

face-id matched

SCENE BREAKDOWN

Distribution by type

100 scenes·19 distinct types detected

Outdoor

Night

Suspense

Empty

Outdoor37.3%

Night29.4%

Suspense11.1%

Empty10.1%

Romantic5.6%

Nature4.3%

Action0.7%

Intimate0.5%

Fight0.2%

Action crowd0.2%

Day0.1%

Indoor0.1%

Chase0.1%

Substance use0.1%

General0.1%

Armed0.1%

Police chase0.0%

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.

Romantic

Two-person framing with warm color flag + low motion + close proximity.

Nature

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

Action

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

Intimate

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

Fight

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

Action crowd

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

Day

Bright outdoor or daytime lighting.

Indoor

Interior locations — ceilings, walls, controlled lighting.

Chase

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

Substance use

Smoking, drinking, or related object/gesture cues.

General

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

Armed

Firearms or bladed weapons detected in frame.

Police chase

Vehicles + emergency colors / sirens detected.

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 – 0:022.7s140.00

002outdoor0:40 – 0:432.7s140.01

003day1:21 – 1:210.0s10.10

004outdoor1:53 – 1:551.7s90.01

005night2:29 – 2:290.0s10.00

006night4:43 – 4:430.0s10.10

007outdoor5:28 – 5:280.2s20.30

008outdoor8:04 – 8:050.6s40.06

009outdoor8:54 – 8:550.6s40.26

010night10:59 – 11:012.5s130.38

011night13:47 – 13:470.4s30.78

012indoor14:19 – 14:190.0s10.80

013night15:25 – 15:293.3s170.20

014night16:23 – 16:230.0s11.10

015night17:49 – 18:1324.2s1170.13

016night18:27 – 19:0234.8s1680.61

017night20:25 – 20:261.2s70.14

018outdoor20:59 – 20:590.0s10.10

019outdoor22:49 – 22:490.0s10.20

020night23:59 – 24:1112.1s590.15

021night24:29 – 24:334.6s230.20

022outdoor24:56 – 24:571.0s60.44

023outdoor25:13 – 25:130.0s10.50

024night25:30 – 25:311.2s70.14

025outdoor25:54 – 25:540.0s10.10

026outdoor26:04 – 26:040.6s40.11

027night26:26 – 26:260.4s30.13

028night27:04 – 27:040.0s10.60

029outdoor27:26 – 27:271.2s70.05

030night28:19 – 28:201.1s60.29

031night29:11 – 29:131.7s90.20

032night31:32 – 31:5017.9s870.29

033night32:48 – 33:0415.6s760.10

034outdoor33:58 – 34:001.9s100.30

035outdoor36:04 – 36:050.4s30.25

036outdoor36:30 – 36:300.0s10.30

037night36:53 – 37:029.8s480.17

038night37:35 – 37:5519.8s960.19

039outdoor38:07 – 38:102.5s130.06

040night38:32 – 38:4917.7s860.11

041night39:22 – 39:275.2s260.20

042outdoor40:21 – 40:232.3s120.20

043outdoor41:34 – 41:351.5s80.10

044night41:53 – 41:530.0s10.10

045outdoor42:20 – 42:200.2s20.05

046night42:50 – 42:510.2s20.10

047outdoor43:11 – 43:110.0s10.00

048outdoor43:32 – 43:341.5s80.20

049night46:10 – 46:166.3s311.54

050night46:54 – 47:2430.2s1460.33

051outdoor48:20 – 48:200.6s40.20

052night49:42 – 49:420.4s30.20

053outdoor51:23 – 51:230.0s10.20

054night51:46 – 51:493.1s160.16

055night54:25 – 55:2459.8s2880.10

056general56:28 – 56:280.0s10.40

057outdoor56:53 – 56:596.5s320.13

058outdoor58:25 – 58:250.2s20.10

059night59:08 – 59:112.5s130.30

060night59:37 – 59:370.2s20.25

061outdoor59:45 – 59:450.2s20.20

062outdoor59:56 – 59:570.6s40.10

063night1:00:14 – 1:00:140.0s10.30

064outdoor1:00:43 – 1:00:452.5s130.18

065outdoor1:01:05 – 1:01:050.2s20.10

066night1:01:22 – 1:01:220.0s10.00

067night1:01:38 – 1:01:390.2s20.10

068outdoor1:01:52 – 1:01:520.0s10.10

069night1:02:06 – 1:02:071.1s60.06

070night1:02:27 – 1:02:281.7s90.44

071outdoor1:03:04 – 1:04:0156.9s2740.27

072outdoor1:04:24 – 1:04:261.9s100.30

073outdoor1:06:35 – 1:06:393.8s190.10

074outdoor1:07:56 – 1:07:560.0s10.20

075night1:08:05 – 1:09:0559.9s2880.17

076outdoor1:10:35 – 1:10:360.8s50.10

077night1:13:10 – 1:13:4635.5s1710.06

078outdoor1:14:44 – 1:14:472.3s120.20

079night1:15:22 – 1:15:231.2s70.10

080night1:16:18 – 1:16:180.0s10.20

081outdoor1:17:27 – 1:17:270.0s10.10

082night1:18:08 – 1:18:080.4s30.05

083outdoor1:18:35 – 1:18:350.2s20.15

084night1:20:27 – 1:20:270.0s10.20

085outdoor1:22:51 – 1:22:575.4s270.10

086night1:23:35 – 1:23:382.9s150.33

087night1:24:00 – 1:24:010.2s20.10

088night1:24:11 – 1:24:110.0s10.30

089outdoor1:24:32 – 1:24:320.2s20.20

090night1:24:53 – 1:24:563.1s160.13

091night1:25:06 – 1:25:060.2s20.20

092night1:25:36 – 1:25:403.5s180.10

093outdoor1:26:03 – 1:26:074.0s200.10

094outdoor1:26:29 – 1:26:290.0s10.30

095night1:26:45 – 1:26:494.4s220.37

096outdoor1:27:01 – 1:27:042.7s140.16

097night1:28:53 – 1:28:551.7s90.25

098outdoor1:29:51 – 1:29:543.1s160.20

099outdoor1:30:59 – 1:31:023.1s160.00

100night1:31:33 – 1:31:429.0s440.26