GMU:Computer's Cut: Difference between revisions

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''Credits:'' 6 [[ECTS]], 4 [[SWS]]<br />
''Credits:'' 6 [[ECTS]], 4 [[SWS]]<br />
''Date:'' Monday, 9:15 until 12:30h<br />
''Date:'' Monday, 9:15 until 12:30h<br />
''Venue:'' Marienstr. 7b, R. 204<br />
''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Room 204]]<br />
''First meeting:''  
''First meeting:'' Oct. 18<br />
''Moodle:'' [https://moodle.uni-weimar.de/enrol/index.php?id=36605 36605]


==Description==
==Description==
Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, microhouse is a subgenre of house which employs this technique. Akufen's Deck the House from 2002 may serve as an example. In the context of experimental film, Martin Arnold compiled his 1989 montage “Pièce Touchée” entirely from found-footage by copying frames in a specific order with an optical printer, emphasizing and amplifying gestures from the original movie. Steina Vasulka, Granular Synthesis and many other artists followed in exploring an aesthetic of deconstruction and reassembly of the timeline in moving images. In pop culture this “audiovisual cut-up” was used to expand the visual language of music clips and to have the audiences of live performances spellbound. Micro-edits are used in different contexts ranging from media art, experimental film-making to music clips and advertising.
Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, microhouse is a subgenre of house which employs this technique. [https://soundcloud.com/aku-en/akufen-deck-the-house Akufen's Deck the House] from 2002 may serve as an example. In the context of experimental film, Martin Arnold compiled his 1989 montage “[https://www.youtube.com/watch?v=AnDagpv4kUk Pièce Touchée]” entirely from found-footage by copying frames in a specific order with an [[wikipedia:Optical printer|optical printer]], emphasizing and amplifying gestures from the original movie. Steina Vasulka, [http://www.mediaartnet.org/works/modell-5/ Granular Synthesis] and many other artists followed in exploring an aesthetic of deconstruction and reassembly of the timeline in moving images. In pop culture this “audiovisual cut-up” was used to expand the visual language of music clips and to have the audiences of live performances spellbound. Micro-edits are used in different contexts ranging from media art, experimental film-making to music clips and advertising.
Digital video has become an almost infinite source of to-be-found-footage which is
Digital video has become an almost infinite source of to-be-[[wikipedia:Found footage (film technique)|found-footage]] which is accessible to anyone, anytime through platforms like YouTube, which are essentially databases for moving images of almost any kind. They enabled pop culture phenomenons like supercuts: compilations of short shots of the same action, or [https://www.youtube.com/results?search_query=ytp YouTube Poop] mashups of videos with a comical and at times immature humour: Today, meta information, close captions, machine learning analysis and music information retrieval can provide the means to generate automated edits. Real-time reassembly of media fragments based on databases, feature extraction or meta-information has become entirely feasible. In the class Computer's Cut — Generative Video Editing we will learn to let algorithms cut and edit.
accessible to anyone, anytime through platforms like YouTube, which are essentially databases for moving images of almost any kind. They enabled pop culture phenomenons like supercuts: compilations of short shots of the same action, or YouTube Poop mashups of videos with a comical and at times immature humour: Today, meta information, close captions, machine learning analysis and music information retrieval can provide the means to generate automated edits. Real-time reassembly of media fragments based on databases, feature extraction or meta-information has become entirely feasible. In the class Computer's Cut — Generative Video Editing we will learn to let algorithms cut and edit.
 
==Syllabus==
 
[[/py-yolo setup/]]
 
==Participants==
* [[/Julian Mosbach/]]
* [[/Jacob Heine/]]
* [[/Kristin Jakubek/]]
* [[/Sinan Kılıç/]]
* [[/Christian Dähne/]]
* [[/Moritz Lang/]]
* [[/Jo-Ann Döring/]]
* [[/Lena Taßler/]]
* [[/Mudassir Sheikh/]]
 
== Files==
* [https://github.com/BauhausUniversity/cuttlefish/tree/master Cuttlefish] Python scripts and tools
* [[Audiovideo]] Pure Data Workshop
 
== Links ==
* [[Audiovision Linkliste]]
* [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]
* http://thisunruly.com
* http://reorder.tv
* https://www.reclaimingremix.com
* [https://journal.transformativeworks.org/index.php/twc/article/view/371/299 A history of subversive remix video before YouTube: Thirty political video mashups made between World War II and 2005]
* [[wikipedia:Edit decision list]] EDL
* [[wikipedia:Regular expression]] Online regex tester: [https://regex101.com RegEx101]
* David Claerbout - The pure necessity https://www.instagram.com/p/B3nHj-MgEyj/ & https://davidclaerbout.com/The-pure-necessity-2016
 
== Software ==
* [[Audio tools]]
* [[Video tools]]
 
* [https://code.visualstudio.com Microsoft Visual Studio Code] Editor <span style="color:#008000>(open source)</span>
** [https://vscodium.com VSCodium] Visual Studio Code without the Microsoft telemetry <span style="color:#008000>(open source)</span>
 
* [https://www.videolan.org VLC] Media Player (helps you downloading YouTube videos: copy YouTube URL, open in VLC as network stream, then go to Tools -> Media Information, copy the Location and paste back into the Browser from where you can save it) <span style="color:#008000>(open source)</span>
* [https://downsub.com downsub.com] Web service to get the subtitles from a YouTube video <span style="color:#ff0000 >(web-service)</span>
* [http://www.aegisub.org Aegisub] Subtitle Editor <span style="color:#008000>(open source)</span>
* [https://www.praxislive.org Praxis Live] <span style="color:#008000>(open source)</span>
* [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) <span style="color:#008000>(open source)</span>
** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips <span style="color:#008000>(open source)</span>
** [https://jupyter.org Jupyter Notebook] <span style="color:#008000>(open source)</span>
 
* [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] <span style="color:#008000>(open source)</span>
* [https://github.com/deepfakes/faceswap Deepfakes Faceswap] <span style="color:#008000>(open source)</span>
* [https://github.com/NVlabs/imaginaire  NVlabs/imaginaire] <span style="color:#008000>(open source)</span>
 
==See also==
* [[Open Frameworks]]
* [[Processing]]
* [[Pure Data - Getting started]]
 


[[Category:WS21]]
[[Category:WS21]]

Latest revision as of 21:43, 2 January 2022

Werk/Fachmodul
Lecturer: Max Neupert
Credits: 6 ECTS, 4 SWS
Date: Monday, 9:15 until 12:30h
Venue: Marienstraße 7b, Room 204
First meeting: Oct. 18
Moodle: 36605

Description

Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, microhouse is a subgenre of house which employs this technique. Akufen's Deck the House from 2002 may serve as an example. In the context of experimental film, Martin Arnold compiled his 1989 montage “Pièce Touchée” entirely from found-footage by copying frames in a specific order with an optical printer, emphasizing and amplifying gestures from the original movie. Steina Vasulka, Granular Synthesis and many other artists followed in exploring an aesthetic of deconstruction and reassembly of the timeline in moving images. In pop culture this “audiovisual cut-up” was used to expand the visual language of music clips and to have the audiences of live performances spellbound. Micro-edits are used in different contexts ranging from media art, experimental film-making to music clips and advertising. Digital video has become an almost infinite source of to-be-found-footage which is accessible to anyone, anytime through platforms like YouTube, which are essentially databases for moving images of almost any kind. They enabled pop culture phenomenons like supercuts: compilations of short shots of the same action, or YouTube Poop mashups of videos with a comical and at times immature humour: Today, meta information, close captions, machine learning analysis and music information retrieval can provide the means to generate automated edits. Real-time reassembly of media fragments based on databases, feature extraction or meta-information has become entirely feasible. In the class Computer's Cut — Generative Video Editing we will learn to let algorithms cut and edit.

Syllabus

py-yolo setup

Participants

Files

Links

Software

  • VLC Media Player (helps you downloading YouTube videos: copy YouTube URL, open in VLC as network stream, then go to Tools -> Media Information, copy the Location and paste back into the Browser from where you can save it) (open source)
  • downsub.com Web service to get the subtitles from a YouTube video (web-service)
  • Aegisub Subtitle Editor (open source)
  • Praxis Live (open source)
  • Python (great video tutorial for beginners) (open source)

See also

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