GMU:Procedural Cut: Difference between revisions

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# 2019-10-28 [[/Supercuts/]]
# 2019-10-28 [[/Supercuts/]]
# 2019-11-04 Lecture Joachim Goßmann
# 2019-11-04 Lecture Joachim Goßmann
# 2019-11-11  
# 2019-11-11
# 2019-11-18
# 2019-11-25
# 2019-12-02
# 2019-12-09 [[/Musical recombinations/]]
# 2019-12-16
# 2020-01-06
# 2020-01-13
# 2020-01-20
# 2020-01-27
# 2020-02-03
# 2020-02-10 Presentation
 
Deadline for documentation: 2020-03-31


==Assignments==
==Assignments==
# [[/Assignment Supercut/]]
# [[/Assignment Supercut/]]
# [[/Assignment Sequence/]]
# [[/Assignment Sequence/]]
# [[/Assignment Object Recognition/]]
# [[/Assignment Subtitle Automate/]]


==Workshop files==
==Final work==
* [[Audiovideo]]
* [[/Konrad/]]
* [[/Cornelius/]]
* [[/Xinyue/]]
* [[/Keno/]]
 
== Files==
* [https://github.com/BauhausUniversity/cuttlefish/tree/master Cuttlefish] Python scripts and tools
* [[Audiovideo]] Pure Data Workshop


== Links ==
== Links ==
* [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]
* [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:Edit decision list]] EDL
* [[wikipedia:Regular expression]]
* [[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 ==
== Software ==
* https://shotcut.org Non-Linear Video Editor
* [[Audio tools]]
* [https://code.visualstudio.com Microsoft Visual Studio Code]
* [[Video tools]]
* http://www.aegisub.org Subtitle Editor
 
* [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)
* [https://code.visualstudio.com Microsoft Visual Studio Code] Editor <span style="color:#008000>(open source)</span>
* https://downsub.com Web service to get the subtitles from a YouTube video
** [https://vscodium.com VSCodium] Visual Studio Code without the Microsoft telemetry <span style="color:#008000>(open source)</span>
* [https://www.praxislive.org Praxis Live]
 
* [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners)
* [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://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips
* [https://downsub.com downsub.com] Web service to get the subtitles from a YouTube video <span style="color:#ff0000 >(web-service)</span>
* [https://ffmpeg.org ffmpeg] make sure to add it to the environment variables on Windows ([https://www.wikihow.com/Install-FFmpeg-on-Windows how to])
* [http://www.aegisub.org Aegisub] Subtitle Editor <span style="color:#008000>(open source)</span>
* {http://www.gpac.io GPAC}
* [https://www.praxislive.org Praxis Live] <span style="color:#008000>(open source)</span>
* [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection]
* [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/apreshill/bakeoff apreshill/bakeoff] <span style="color:#008000>(open source)</span>
* [https://github.com/NVlabs/few-shot-vid2vid  NVlabs/few-shot-vid2vid] <span style="color:#008000>(open source)</span>


==See also==
==See also==

Latest revision as of 10:19, 30 March 2020

Lecturer: Max Neupert
Credits: 6 ECTS, 4 SWS
Date: Mondays, 09:15-12:30
Venue: Marienstraße 7b, Raum 204
First meeting: Monday, 14th of October 09:15-12:30
Course language is English

Procedural Cut: Algorithmic Micro-editing

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 Procedural Cut: Algorithmic Micro-editing we will learn to let algorithms cut and edit.

This class builds upon two previous classes: GMU:Breaking the Timeline and GMU:Bits, Beats & Pieces. No previous knowledge is required.

Syllabus

  1. 2019-10-21 Early Montages and Flicker
  2. 2019-10-28 Supercuts
  3. 2019-11-04 Lecture Joachim Goßmann
  4. 2019-11-11
  5. 2019-11-18
  6. 2019-11-25
  7. 2019-12-02
  8. 2019-12-09 Musical recombinations
  9. 2019-12-16
  10. 2020-01-06
  11. 2020-01-13
  12. 2020-01-20
  13. 2020-01-27
  14. 2020-02-03
  15. 2020-02-10 Presentation

Deadline for documentation: 2020-03-31

Assignments

  1. Assignment Supercut
  2. Assignment Sequence
  3. Assignment Object Recognition
  4. Assignment Subtitle Automate

Final work

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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