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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