The Perfect Murder


The Perfect Murder is a 1988 English language Indian film directed by Zafar Hai and produced by Merchant-Ivory. The film is based on the 1964 novel The Perfect Murder by British crime fiction writer HRF Keating and stars Naseeruddin Shah as Inspector Ghote, the leading character in Keating's novels. Swedish actor Stellan Skarsgård as well as many noted Indian actors such as Madhur Jaffrey, Amjad Khan, Dalip Tahil, Ratna Pathak, Annu Kapoor and Johnny Walker also appear in the film.

Police Inspector Ghote lives a middle-class life in Bombay along with his wife, Pratima. He has been employed with the Bombay Police for many years. His wife is generally disgruntled and wants a better life. He is assigned to investigate the deadly assault on a Parsi man named Perfect, who is the Secretary of Lala Heera Lal, a wealthy man with underworld links. Inspector Ghote commences his investigation and is displeased when his superiors ask him to work with a Swedish Forensic expert, Axel Svennson. Axel is thrilled to get a closer look at the working of the Bombay Police, but realizes that Ghote may not be one of their best police officers. When their friendship develops, he gets invited to Ghote's house, and meets Pratima. Their investigation, though prima facie simple enough, takes them through turns and twists that both had not expected - including corridors of power and corruption - and finally to the conclusion and the unmasking of the culprit(s) behind this incident.

Quelle: Wikipedia(englisch)
weitere Titel:
The Perfect Murder ast
完美的谋杀zh-cn zh-hans
Идеальное убийство
ది పర్ఫెక్ట్ మర్డర్te
Genre:Mysteryfilm, Filmkomödie
Herstellungsland:Vereinigtes Königreich, Indien
Originalsprache:Englisch, Hindi
IMDB: 271
Drehbuch:H. R. F. Keating
Kamera:Walter Lassally
Musik:Richard Robbins
Produzent:Ismail Merchant
Darsteller:Stellan Skarsgård
Naseeruddin Shah
Ratna Pathak
Madhur Jaffrey
Amjad Khan
Es liegt kein Transcript zu diesem Film vor.
Wenn Sie diese Daten spenden möchten, dann wenden Sie sich gerne an uns.


Datenstand: 19.10.2019 06:18:58Uhr