Movielogr

movie poster

Rating: 7 stars

Seen 1 time

Seen on: 12/12/2011

  • Watched on: TV
  • Format: DVD

View on: IMDb | TMDb

Bringing Out the Dead (1999)

Directed by Martin Scorsese

Drama

Most recently watched by sensoria, sleestakk

Overview

Once called “Father Frank” for his efforts to rescue lives, Frank Pierce sees the ghosts of those he failed to save around every turn. He has tried everything he can to get fired, calling in sick, delaying taking calls where he might have to face one more victim he couldn’t help, yet cannot quit the job on his own.

Rated R | Length 121 minutes

Actors

Martin Scorsese | John Goodman | Terry Serpico | Nicolas Cage | Tom Sizemore | Antone Pagan | Patricia Arquette | Cliff Curtis | Joseph P. Reidy | Ving Rhames | Nestor Serrano | Queen Latifah | Phyllis Somerville | Jon Abrahams | David Zayas | Arthur J. Nascarella | Michael Mulheren | Larry Fessenden | Afemo Omilami | Michael Kenneth Williams | Charis Michelsen | Marc Anthony | Cullen O. Johnson | Andy Davoli | Mary Beth Hurt | Leonid Citer | Marylouise Burke | Tom Riis Farrell | Sylva Kelegian | James Hanlon | Michael Carbonaro | Aida Turturro | Melissa Marsala | Judy Reyes | Mark Giordano | Tom Cappadona | John Heffernan | Richard Spore | Sonja Sohn | Bronson Dudley | Cynthia Roman | Don Berry | Betty Miller | Jesse Malin | Julyana Soelistyo | Mtume Gant | Jack O'Connell (II) | Mary Diveny | Craig muMs Grant | Matthew Maher | Theo Kogan | Harper Simon | Brian Smyj | Catrina Ganey | Carolyn Campbell | Omar Scroggins | Fuschia! | Floyd Resnick | Chris Edwards | Marilyn McDonald | Graciela Lecube | Ed Jupp Jr. | Lia Yang | Erica Bamforth | Aleks Shaklin | Jesus A. Del Rosario Jr. | Bernie Friedman | J. Stanford Hoffman | Rita Norona Schrager | Michael A. Noto | Charlene Hunter | Joseph Monroe Webb | Rosemary Gomez | Luis Rodriguez | Frank Ciornei | Jennifer Lane Newman | John Bal | Raymond Cassar | Randy Foster | Megan Leigh | David Vasquez | Peju Bamgboshe | Joe Connelly

Viewing Notes

A lesser known Scorsese film, largely forgotten by the general public. I’d never seen it despite multiple attempts (apparently it was out of print for a while and unavailable on Netflix for ages), so I finally closed the gap.

Its themes are similar to Taxi Driver, both of which focus on individuals who are very isolated from the city around them, despite being heavily immersed in its seedier side. Both characters suffer from moral ambiguity and struggle with their attempts (and failures) to make a difference in the world around them.

Despite the similarities to Taxi Driver, this is no Taxi Driver; and Nicolas Cage is no Robert DeNiro. That’s not to say he’s not good here; he is. This is the sort of slightly off the rails character that Cage seems to portray well.

Bringing Out The Dead also has some great humor in it that you don’t find in Taxi Driver.

Definitely worth seeing, but also definitely a minor work by Scorsese.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0264
Total Execution Time  0.0278
  GET DATA  
No GET data exists
  MEMORY USAGE  
547,216 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/movie_detail/7338
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0076 seconds)  (Hide)
0.0003   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = 'f6fe7481e4b8fed28ea5f8fd720dbedea907d088'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('d4793c41990ddff4195d316cb1b815eb'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'f6fe7481e4b8fed28ea5f8fd720dbedea907d088'
AND `ip_address` = '216.73.216.111' 
0.0004   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sensoria'
 
LIMIT 1 
0.0003   SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 7338
AND `MV`.`user_id` = 1
 LIMIT 1 
0.0004   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0030   SELECT `MV`.`title_id`, `MV`.`movie_id`, COUNT(DISTINCT MV.title_id) AS mv_count, `title`, `prefix`, `year`, `imdb_link`, `MT`.`imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, `genre_id_01`, `genre_id_02`, `genre_id_03`, MAX(MP.filename) AS filename, `G1`.`genre_nameAS `genre_name_01`, `G2`.`genre_nameAS `genre_name_02`, `G3`.`genre_nameAS `genre_name_03`, `date_viewed`, `notes`, `MV`.`format_id`, `FMT`.`format_name`, `MV`.`source_id`, `SRC`.`source_name`, `MV`.`device_id`, `DVC`.`device_name`, `MV`.`rating_id`, `STR`.`star_rating`, `rewatch`, GROUP_CONCAT(DISTINCT(DR.director_name) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS directorsGROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_idsGROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actorsGROUP_CONCAT(DISTINCT(ACT.tmdb_actor_id) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actor_ids
FROM 
`ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MPON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMTON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRCON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVCON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_ten_star` `STRON `MV`.`rating_id` = `STR`.`rating_id`
LEFT JOIN `ml_junction_movies_directors` `JMDON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DRON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMAON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACTON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MV`.`movie_id` = 7338
AND `MV`.`user_id` = 1
ORDER BY 
`date_viewedDESC 
0.0002   SET SESSION group_concat_max_len 1024 
0.0003   SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EVON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 7338 
0.0002   SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MTON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 7338 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0003   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 7338
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '16'
 
LIMIT 1 
0.0004   SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2ON `MV`.`title_id` = `MV2`.`title_idAND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 7338
GROUP BY 
`MV2`.`movie_id`
ORDER BY `MV2`.`date_viewedDESC 
0.0003   SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MUON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 7338 
0.0004   SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MVON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MTON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 4240
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)