User:Emily/Thematic Project/Trimester 02/02

PROPOSAL

REPURPOSING COTENT: I choose a 1967 film The Tenant directed by Roman Polanski as the content for my photobook project. In the film, the character Trelkovsky faces internal battles suspecting his neighbours want to turn him into Simone who is the previous tenant of his house and committed suicide by throwing herself out of the window. The reason why I choose this film is that it reminds me an experimental short by Antony Balch, written by William S. Burroughs, Bill &Tony, in which Balch and Burroughs use the same exact dialog,transposing lines from one to the other.
Both of the characters in these two films are like "containers" storing multiple even contrary information.

Trelkovsky&Simone vs Bill&Tony

The Tenant

https://www.youtube.com/watch?v=wjkRaFklrfY&list=PLjT3Z589ba7NemSgtbWvaQjxP_tsFy0IG&index=13

Bill&Tony

Bill&Tony

https://www.youtube.com/watch?v=zFrTAJUQKq4&index=3&list=PL0-HMlqadcRtvS6cj1wAsvl96e4vGL3QZ

Cinematography: Antony Balch

Screenplay: William S. Burroughs

Cast: Antony Balch, William S. Burroughs

1972, UK, 5' 11", Color

Digital content:
I extract all the sentence contains "know" from the Tenant: https://vimeo.com/120958032 other: I removed the audio of "know" : https://vimeo.com/120958138

CONTEXT

Work with exist image and text:

Content Repurposing:

RESEARCH&SOURCE

• CUT-UP:

method of Tristan Tzara

- Take a newspaper.

- Take a pair of scissors.

- Choose an article as long as you are planning to make your poem.

- Cut out the article.

- Then cut out each of the words that make up this article and put them in a bag.

- Shake it gently.

- Then take out the scraps one after the other in the order in which they left the bag.

- Copy conscientiously.

- The poem will be like you.

- And here are you a writer, infinitely original and endowed with a sensibility that is charming though beyond the understanding of the vulgar.

• Fold-in is the technique of taking two sheets of linear text (with the same linespacing), folding each sheet in half vertically and combining with the other, then reading across the resulting page, such as in The Third Mind.

The ultimate cut-up machine is a digital version of the cut-up technique popularized in the late 50's and early 60's by William Burroughs. Building on the traditional approach of slicing up and re-aligning newspapers, the ultimate cut-up machine uses a digital interface to help you create new words and phrases from today's news. -->http://www.christopherarcella.com/cutups.php

• (haevn't read) Naked Lunch (sometimes The Naked Lunch) is a novel by William S. Burroughs originally published in 1959. The book is structured as a series of loosely connected vignettes. Burroughs stated that the chapters are intended to be read in any order.[1] The reader follows the narration of junkie William Lee, who takes on various aliases, from the US to Mexico, eventually to Tangier and the dreamlike Interzone. The vignettes (which Burroughs called "routines") are drawn from Burroughs' own experience in these places, and his addiction to drugs (heroin, morphine, and while in Tangier, majoun (a strong marijuana confection) as well as a German opioid, brand name Eukodol, of which he wrote frequently).

(In 1991, David Cronenberg released a film of the same name based upon the novel and other Burroughs writings.)

• Simon Morris: learn to read differently --> https://www.youtube.com/watch?v=AHdQ8rtW8mE

"words on the surface at print itself, on the card mount, on the frame, and on the wall of the gallery; Thus the letters flow from left to right, both inside and outside the frame suggesting that this new form of reading will require an expanded approach to the activity and a new form of critical engagement."

PROTOTYPE PROCESS

(notice: a reminder that something need to change in code)
- In order to cut precisely by subtitles(videogrep/moviepy), I spend much time on the revisal of subtitles, matching each sentence to exact period.
basic check: extract every sentences characters speak "know" --> https://vimeo.com/120958032
I found it a bit fun, then I removed all the voices of "know" manually --> https://vimeo.com/120958138

Regarding time limited, for this photobook project, I will only use this film.
Extract time phrases from subtitles, here below is all my content:
now = 91 - 66 = 25 (notice: the search function in videogrep hypersearch or in word/page, "now" will also be extracted in "know" etc.)
night/midnight/nightmare = 22 (notice: the same that when search night, videogrep/word will also include midnight, nightmare etc.)
day/days/today/yesterday/Thursday/Sunday/Saturday = 19
(see as above) time = 12
morning= 11
evening = 5
afternoon = 3
later = 3
month = 3
soon = 3
moment = 3
hour = 3
second = 1
minute = 1
week = 1
at once = 1
Besides, I want to search numbers that may mention as precise time:
python videogrep.py --input /Volumes/DATA_BASED/MOVIE-DIALOGUE/The\ Tenant.srt --search 'number' --search-type hyper --test
Notice: here hyper search only detect English number phrase, one instead of 1.
195 00:20:00,031 --> 00:20:03,333 The patient died at 4:20 pm Yesterday
364 00:38:45,944 --> 00:38:48,624 came home at 3:00 in the morning after one drink too many...
882 01:43:55,712 --> 01:44:00,615 I'll be back around 8:00. I've left your breakfast ready.