feeldb

An Autumn Afternoon

1962 · 113 min · Director: Yasujirō Ozu ★ IMDb 8 · 12,294 ratings

Show plot summary (may contain spoilers)

Shuhei Hirayama is a widower with a 24-year-old daughter. Gradually, he comes to realize that she should not be obliged to look after him for the rest of his life, so he arranges a marriage for her.

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Emotional fingerprint

An Autumn Afternoon (1962) — Movie. Top emotional signals: Melancholy 35%, Empathy 25%, Nostalgia 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Love10%

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Melancholy, Empathy, Nostalgia. Genres: Drama. AI estimate.

Is it worth watching?

Consider this title if you are looking for Melancholy, Empathy and Nostalgia. Its IMDb rating of 8.0/10 suggests a strong audience reception. For these leading emotions, its Feel Score is 75/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Melancholy
  • Sympathy
  • Nostalgia

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Hope

Dominant emotion: Humor

Dominant emotion: Sympathy

Dominant emotion: Nostalgia

Dominant emotion: Melancholy

Melancholy
Sympathy
Nostalgia
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then rises around 88 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityMelancholySympathyNostalgia
2.5 %≈ 3′Hope21 %2 %5 %3 %
7.5 %≈ 8′Humor26 %4 %6 %4 %
12.5 %≈ 14′Humor30 %8 %12 %5 %
17.5 %≈ 20′Humor34 %15 %22 %10 %
22.5 %≈ 25′Humor40 %24 %30 %13 %
27.5 %≈ 31′Sympathy38 %24 %31 %13 %
32.5 %≈ 37′Nostalgia38 %22 %28 %26 %
37.5 %≈ 42′Nostalgia45 %27 %27 %44 %
42.5 %≈ 48′Nostalgia45 %24 %23 %36 %
47.5 %≈ 54′Humor41 %10 %14 %11 %
52.5 %≈ 59′Humor50 %18 %24 %5 %
57.5 %≈ 65′Melancholy60 %46 %48 %11 %
62.5 %≈ 71′Melancholy52 %44 %48 %9 %
67.5 %≈ 76′Hope39 %27 %32 %8 %
72.5 %≈ 82′Hope46 %35 %38 %14 %
77.5 %≈ 88′Sympathy54 %43 %47 %11 %
82.5 %≈ 93′Humor49 %36 %37 %9 %
87.5 %≈ 99′Hope58 %46 %43 %20 %
92.5 %≈ 105′Melancholy76 %71 %64 %33 %
97.5 %≈ 110′Melancholy83 %83 %73 %39 %
Riches to rags

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

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Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

SI
Shima Iwashita

KS
Keiji Sada

MO
Mariko Okada

Akiko

TY
Teruo Yoshida

NM
Noriko Maki

SM
Shinichirō Mikami

NN
Nobuo Nakamura

Shuzo Kawai

Eijirō Tōno

Sakuma, The 'Gourd'

KK
Kyôko Kishida

Madame Kaoru

RK
Ryuji Kita

Tamako

TT
Toyo Takahashi

Wakamatsu's Owner

SA
Shinobu Asaji

Youko Sasaki

MO
Masao Oda

Watanabe

FS
Fujio Suga

Bar Customer

ZI
Zenichi Inagawa

Bar Customer

DK
Daisuke Katō

Yoshitaro Sakamoto

HS
Haruko Sugimura

Tomoko Sakuma

MT
Michiyo Tamaki

Tamako Horie

Details

Directed by
Yasujirō Ozu
Type
Movies
Released
1962
Runtime
113 min
Country
Japan
Genres
Drama
Ratings
★ IMDb 8 · 12,294 ratings
Feels mostly
Melancholy
Data updated

Where to watch

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.