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FrameThrower · Actors · Maggie Cheung

Maggie Cheung

Maggie Cheung

6 films · 311 frames · top-billed in 5 · 19932002

Born 20 September 1964 · Hong Kong, British Crown Colony

Maggie Cheung is a Hong Kong actress. She is considered to be one of the most successful and internationally acclaimed actresses in Asia. Cheung is the recipient of numerous accolades, including five Hong Kong Film Awards and five Golden Horse Awards, holding the record for most awards in the Best Actress category. Internationally, she is best known for winning the Silver Bear for Center Stage (1992) and the Cannes Film Festival Award for Clean (2004), making her the first Asian actress to receive the latter and the only Asian actress to have won Best Actress awards at two of the three major European film festivals.

Awards

On FrameThrower we have: 6 films · 311 frames · top-billed in 5 · 19932002

  • Cannes Film Festival Award for Best Actress2004
  • Golden Horse Award for Best Leading Actress2000
  • Golden Horse Award for Best Leading Actress1997
  • Golden Horse Award for Best Leading Actress1991
  • Golden Horse Award for Best Leading Actress1989

How their films are shot

Measured across 311 frames from the 6 films we hold. This is the look of the work Maggie takes, not a claim about any single frame — we index the cast of a film, never the people in a shot.

Across the 6 films we hold, 59% of their frames are night, 50% low key — the look of the work Maggie takes.

Time of day

Night59%
Day33%
Interior6%

Lighting

Low key50%
Natural33%
High key12%

Shot size

Medium54%
Closeup24%
Wide12%
Fullbody6%

Camera angle

Eye level85%
High angle9%
Low angle5%

Mood

Neutral60%
Lonely19%
Tense9%
Mysterious6%

Films in the library

Every poster opens that film — stills, cinematography notes and colour palette.

Often with

Shared films in this library, not a full filmography.

A reference database for filmmakers

FrameThrower is a fully machine-searchable film database and visual reference library — all 311 frames from Maggie Cheung's 6 films, and 5,000+ films besides, indexed frame by frame and readable by AI. Search it in plain language, from a reference image, or by colour; call it from an API, an MCP server or an SDK. It's the reference layer for making the next movie.