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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 being an Adventure film, The Hunger Games Catching Fire defies genre norms with an ominous score of 85, outshining 19 out of 20 peers with an average rating of just 61.
  • 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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