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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. | 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. | 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]]. | This class builds upon two previous classes: [[GMU:Breaking the Timeline]] and [[GMU:Bits, Beats & Pieces]]. |
Revision as of 14:06, 13 August 2019
Lecturer: Max Neupert
Credits: 6 ECTS, 4 SWS
Date: Mondays, 09:15-12:30
Venue: Marienstraße 7b, Raum 204
First meeting: Monday, 15th of October 09:15-12:30
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.
Workshop files
Literature
- Puckette, Miller: The Theory and Technique of Electronic Music ISBN 981-270077-3 Online Version
- Kreidler, Johannes: Loadbang ISBN 978-3-936000-57-3 Online Version (english, deutsch, español)
- Farnell, Andy: Designing Sound ISBN 0-262-01441-6 obiwannabe.co.uk on Archive.org Code examples
- Zimmer, Fränk: Bang: Pure Data ISBN 3-936000-37-9
- Chung, Bryan WC: Multimedia Programming with Pure Data ISBN 1782164642 source
- Brinkmann, Peter: Making Musical Apps – Real-time audio synthesis on Android and iOS ISBN 978-1-4493-1490-3 (e-Book ISBN 978-1-4493-1489-7 )
- Barkl, Michael: Composition: Pure Data as a Meta-Compositional Instrument ISBN 3838316479
- Matsumura, Sei: Pd Recipe Book ― Pure Data ではじめるサウンドプログラミング ISBN 978-4-86100-780-4
- Miyama, Chikashi: Pure Data チュートリアル&リファレンス ISBN 978-4862671424
- Lyon, Eric: Designing Audio Objects for Max/MSP and Pd ISBN 978-0-89579-715-5
- Hillerson, Tony: Programming Sound with Pure Data: Make Your Apps Come Alive with Dynamic Audio ISBN 978-1-93778-566-6