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The Departed (2006) movie poster

Film Profile · THE-DEPARTED

The Departed

2006Drama / Thriller / CrimeDrama2h 31m
Detections135,478
Night Frames41%
Dialogue WPM93
Dom. Emotionneutral
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-77% vs genre
13.2/100

Very Bright

Action Intensity+3% vs genre
58/100

Moderate

People Density-7% vs genre
60/100

Intimate

Indoor / Outdoor
74% indoor

Indoor · 74.2% indoors

Object Diversity
98/100

High

Pacing
0.7 cuts/min

Dynamic · cuts/min

FINGERPRINT

The full shape, vs. genre

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

DARKNESS53ACTION58DIALOGUE44PEOPLE60VEHICLES5VISUAL57
The DepartedDrama 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 → 151m
02550751000m38m76m113m151m
See every beat →

STRUCTURE

Scene mix by act

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

ACT 1 · SETUP
●outdoor dominates46%
ACT 2 · CONFRONTATION
●outdoor dominates42%
ACT 3 · CLIMAX
●outdoor dominates42%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

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

MOST INTENSE MINUTE
2:22:48
motion 88/100
BREATHING ROOM
3calm stretches
longest 770.1s at 128:47
All calm sequences · all silences →

CHROMA

Color signature

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

Temperaturewarm
Saturationmuted
Frames sampled7,256
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#625053
20.8%
#746D7C
18.3%
#393B4B
18.0%
#4F2D2C
17.5%
#9A95A4
14.7%
#CECCD8
10.6%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#493F46
#666B84
#9198AD
#C5C8D7
#B37F54
General scenes
#493434
#7F7079
#5A4F57
#9E9AAC
#CDCCDB
Night scenes
#502E2D
#64545B
#38394A
#867C8B
#C0BEC8
Outdoor scenes
#675B63
#523130
#3A3C4C
#8B8696
#C7C5D2
Romantic scenes
#594F58
#7B727D
#44353A
#A09EAF
#CCC9D5
Vibrant scenes
#784032
#2D3D7E
#4B6DAF
#8F081D
#CA8F47

DETECTIONS

What appears on screen most

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

Tie20%
Chair12%
Poster2%
Police car1%
+ 6 more · person in 90% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

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

LD
Leonardo DiCaprio
Billy
34.9m · angry
MD
Matt Damon
Colin
27.6m · angry
JN
Jack Nicholson
Costello
20.4m · angry
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

AI-DISCOVERED FACTS

AI-Discovered Facts — The Departed (2006)

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

  • The Departed shocks with 4.3x the profanity of average Drama films, beating 96% of the genre.
  • 5,103 unique people spotted (90% of frames)
  • "fucking" is said 137 times — once every 1.1 minutes.
  • Leonardo DiCaprio is on screen for 35 of 151 minutes — 23% of the runtime.
  • The longest stretch of silence runs 7 min 20 sec — no dialogue at all.
  • Only 3.7% of all detected faces are smiling across the entire film.
  • At 117 BPM, the score sets a slow, meditative pace throughout.
  • 2,910 unique words spoken out of 14,012 total — a vocabulary richness of 20.8%.
  • AI detected 98 unique object types across 135,478 frame-by-frame detections.
  • 1,062 unique ties spotted (20% of frames)
  • 935 unique chairs spotted (12% of frames)
  • 373 unique cups spotted (6% of frames)
  • 372 unique cars spotted (4% of frames)
  • 172 unique potted plants spotted (4% of frames)
  • 223 unique tvs spotted (4% of frames)
  • 318 unique cell phones spotted (4% of frames)
  • 223 unique bottles spotted (2% of frames)
  • 115 weapon appearances (1 per minute)
  • Shot predominantly with warm tones

DIALOGUE

Words across the runtime

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

41% dialogue59% silence / score
14,012
total words
93
words / min
294 · 2.1%
profanity flagged
Top vocabulary · WPM by act · profanity →

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