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Arrival (2016) movie poster

Film Profile · ARRIVAL

Arrival

2016Drama / Sci-Fi / MysteryDrama1h 56m
Detections80,598
Night Frames82%
Dialogue WPM44
Dom. Emotionfear
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-56% vs genre
25.5/100

Bright

Action Intensity-6% vs genre
52/100

Moderate

People Density-18% vs genre
53/100

Intimate

Indoor / Outdoor
71% indoor

Indoor · 70.7% indoors

Object Diversity
67/100

High

Pacing
0.9 cuts/min

Dynamic · cuts/min

FINGERPRINT

The full shape, vs. genre

Six axes overlaid against the average for this film's primary genre.

DARKNESS66ACTION52DIALOGUE25PEOPLE53VEHICLES4VISUAL46
ArrivalDrama avg · 26 titles

THE ARC

Motion & brightness across the runtime

Hover to scrub. Spikes mark high-action sequences. Dips reveal quiet stretches.

Motion Intensity
Brightness
People
0:00 → 116m
02550751000m29m58m87m116m
See every beat →

STRUCTURE

Scene mix by act

Three-act split — how the visual tone shifts from setup through climax.

ACT 1 · SETUP
●outdoor dominates35%
ACT 2 · CONFRONTATION
●outdoor dominates37%
ACT 3 · CLIMAX
●outdoor dominates39%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

The single most-intense minute and longest stretch of stillness.

MOST INTENSE MINUTE
6:00
motion 116/100
BREATHING ROOM
3calm stretches
longest 839.2s at 83:29
All calm sequences · all silences →

CHROMA

Color signature

Frame-sampled palette — temperature, saturation, and how the look shifts across the runtime.

Temperaturecool
Saturationmuted
Frames sampled5,581
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#2C414A
33.2%
#4D5E65
25.6%
#798384
15.2%
#A8B1AE
10.9%
#583219
7.7%
#D8DEDA
7.4%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#C8CFCF
#A8B2B8
#E7EAE8
#838D98
#58606B
Empty scenes
#2A3E46
#41535C
#617277
#9EA9A7
#8F4607
Intimate scenes
#AAA38F
#4F3D2D
#908472
#53656A
#233F49
Night scenes
#213D48
#42535A
#522E19
#697778
#B0B3A6
Outdoor scenes
#2D424A
#506167
#828D8E
#C6CFCB
#593217
Vibrant scenes
#6F3A1B
#285B6F
#9A4700
#935A2F
#CD8C51

DETECTIONS

What appears on screen most

The four most-present objects — full breakdown with categories in Deep Dive.

Tv8%
Chair7%
Laptop5%
Police car1%
+ 6 more · person in 73% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

Top 3 actors by screen time, color-coded by dominant emotion.

AA
Amy Adams
Louise Banks
26.4m · fear
JR
Jeremy Renner
Ian Donnelly
9.3m · fear
FW
Forest Whitaker
Colonel Weber
4.8m · sad
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

AI-DISCOVERED FACTS

AI-Discovered Facts — Arrival (2016)

Insights surfaced by machine analysis of every frame, audio track, and object.

  • Arrival is astonishingly silent, beating 75% of Drama films, outperforming the genre average by 17 percentage points, and silencing 24 out of 25 of its peers.
  • 3,005 unique people spotted (73% of frames)
  • "china" is said 14 times — once every 8.3 minutes.
  • Amy Adams is on screen for 26 of 116 minutes — 23% of the runtime.
  • The longest stretch of silence runs 12 min 4 sec — no dialogue at all.
  • Only 2.0% of all detected faces are smiling across the entire film.
  • At 125 BPM, the soundtrack rarely lets up — one of the faster-paced scores in the database.
  • 1,660 unique words spoken out of 5,097 total — a vocabulary richness of 32.6%.
  • AI detected 67 unique object types across 80,598 frame-by-frame detections.
  • 258 unique chairs spotted (7% of frames)
  • 290 unique tvs spotted (8% of frames)
  • 236 unique laptops spotted (5% of frames)
  • 131 unique cars spotted (2% of frames)
  • 97 unique trucks spotted (2% of frames)
  • 32 unique ties spotted (2% of frames)
  • 34 unique keyboards spotted (1% of frames)
  • 66 unique cell phones spotted (2% of frames)
  • 27 unique beds spotted (1% of frames)
  • Features 125 dog appearances
  • Only 25% of this film is spoken dialogue
  • Contains 1 profanities (0.0 per minute)
  • Longest silence: 12 minutes of unbroken quiet
  • Fear is the dominant emotion (47% of face detections)
  • 24% of frames are close-ups
  • Only 2.0% of face detections are smiling
  • The film's emotional journey ends on a neutral note
  • Shot predominantly with cool tones

DIALOGUE

Words across the runtime

Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.

25% dialogue75% silence / score
5,097
total words
44
words / min
1 · 0.0%
profanity flagged
Top vocabulary · WPM by act · profanity →

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