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The Hunger Games Catching Fire (2013) movie poster

Film Profile · THE-HUNGER-GAMES-CATCHING-FIRE

The Hunger Games Catching Fire

2013Adventure / Action / Sci-FiAdventure2h 26m
Detections86,819
Night Frames83%
Dialogue WPM53
Dom. Emotionneutral
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-28% vs genre
44.5/100

Bright

Action Intensity-11% vs genre
46/100

Moderate

People Density-4% vs genre
53/100

Intimate

Indoor / Outdoor
93% indoor

Indoor · 92.6% indoors

Object Diversity
95/100

High

Pacing
0.7 cuts/min

Steady · cuts/min

FINGERPRINT

The full shape, vs. genre

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

DARKNESS85ACTION46DIALOGUE37PEOPLE53VEHICLES0VISUAL40
The Hunger Games Catching FireAdventure avg · 21 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 → 146m
02550751000m37m73m110m146m
See every beat →

STRUCTURE

Scene mix by act

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

ACT 1 · SETUP
●night dominates36%
ACT 2 · CONFRONTATION
●outdoor dominates35%
ACT 3 · CLIMAX
●outdoor dominates36%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

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

MOST INTENSE MINUTE
5:27
motion 67/100
BREATHING ROOM
3calm stretches
longest 2922.3s at 81:09
All calm sequences · all silences →

CHROMA

Color signature

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

Temperaturewarm
Saturationmuted
Frames sampled7,013
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#563E2F
22.7%
#243C4D
20.8%
#576264
20.3%
#8B7E6B
16.7%
#B2A790
11.8%
#E0CCB4
7.8%
Palette by scene type5 dominant colors per context · sampled within scene class
Empty scenes
#454640
#746652
#B2A387
#7F837A
#E2CCB2
Night scenes
#263E4E
#636867
#563C2F
#9B8F7D
#D4C4AF
Outdoor scenes
#5E5D58
#243E4E
#8C8675
#52392A
#CEBDA4
Romantic scenes
#D5C5A8
#B0A282
#433D2E
#847E67
#665A44
Suspense scenes
#2F383E
#445A64
#7F837C
#684E3A
#CEBBA4
Vibrant scenes
#773D25
#99653F
#245071
#DE9A4B
#2C8498

DETECTIONS

What appears on screen most

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

Poster3%
Chair4%
Wine glass2%
Flood0%
+ 6 more · person in 82% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

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

JL
Jennifer Lawrence
Katniss Everdeen
44.4m · sad
JH
Josh Hutcherson
Peeta Mellark
15.3m · neutral
DS
Donald Sutherland
President Coriolanus Snow
6.1m · angry
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

AI-DISCOVERED FACTS

AI-Discovered Facts — The Hunger Games Catching Fire (2013)

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

  • Despite its thrilling adventure setting, The Hunger Games: Catching Fire scored a dismal 85 out of 100, beating the genre average of 61 in 19 out of 20 Adventure films.
  • 4,494 unique people spotted (82% of frames)
  • "peter" is said 31 times — once every 4.7 minutes.
  • Jennifer Lawrence is on screen for 44 of 146 minutes — 30% of the runtime.
  • The longest stretch of silence runs 7 min 22 sec — no dialogue at all.
  • Only 5.5% of all detected faces are smiling across the entire film.
  • At 117 BPM, the score sets a slow, meditative pace throughout.
  • 2,093 unique words spoken out of 7,806 total — a vocabulary richness of 26.8%.
  • AI detected 95 unique object types across 86,819 frame-by-frame detections.
  • 235 unique chairs spotted (4% of frames)
  • 115 unique wine glasses spotted (2% of frames)
  • Posters appear in 3% of frames
  • 67 unique bottles spotted (1% of frames)
  • 89 unique ties spotted (1% of frames)
  • 51 unique potted plants spotted (1% of frames)
  • 54 unique cups spotted (1% of frames)
  • 29 unique dining tables spotted (1% of frames)
  • 47 unique couchs spotted (1% of frames)
  • Features 271 dog appearances
  • Fire or explosions visible in 0% of sampled frames
  • 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.

32% dialogue69% silence / score
7,806
total words
53
words / min
6 · 0.1%
profanity flagged
Top vocabulary · WPM by act · profanity →

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