https://www.uni-weimar.de/kunst-und-gestaltung/wiki/api.php?action=feedcontributions&feedformat=atom&user=Keno 2026-04-13T10:15:01Z User contributions MediaWiki 1.39.6 https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=114145 2020-04-08T10:23:21Z

<p>Keno: /* Production */</p> <hr /> <div>== News Anchors of the Future ==<br /> <br /> {{#ev:vimeo|404982095}}<br /> <br /> === Idea ===<br /> <br /> In the 1980s, British [https://www.channel4.com/ Channel 4] tried to imagine the TV of the future. They created Max Headroom as the host of a music show. He was supposed to be an AI character although played by an actual human actor, [https://en.wikipedia.org/wiki/Matt_Frewer Matt Frewer]. After shooting, the fragments were cut in a way that would be called “[https://www.pbs.org/video/off-book-art-glitch/ glitchy]” nowadays. This imperfection is a very important part of the character, serving as a signifier for an artificial humanoid character.<br /> <br /> {{#ev:youtube|vS17G1MXzLk}}<br /> <br /> When so called neural networks came up, a discussion starte about which kinds of labor can be done by so called artificial intelligence. Some people are convinced even artists and musicians will be replaced by computer systems.<br /> [https://en.wikipedia.org/wiki/Hatsune_Miku Hatsune Miku] was originally the name voicebank which can be used with Yamaha’s Vocaloid software. From 2010 on, albums for Hatsune Miku have been produced. In 2012 “she” gave her first concert as a holograph, gaining huge popularity.<br /> <br /> {{#ev:youtube|YSyWtESoeOc}}<br /> <br /> Max Headroom and Hatsune Miku are popular examples for avatars, fictional characters with a virtual representation created through CGI and video cutting techniques.<br /> With this history in mind, how would avatars for TV news look like? Having trained a machine learning model with news host images, the software can generate new news hosts. Most approaches aim at generating a photorealistic representation of a human. Referring to Max Headroom, it is more interesting to create avatars looking human-like, having some flaws, and thus, to include technical characteristics in the design process.<br /> <br /> === Production ===<br /> <br /> First tests were carried out with the [https://github.com/NVlabs/few-shot-vid2vid few-show-vid2vid] framework by NVIDIA. At this time, the idea was different: The news host were supposed to have dog faces. Due to technical problems this approach was abandoned for now.<br /> <br /> [[File:dog_01.gif]]<br /> <br /> [https://runwayml.com/ RunwayML] is a SaaS company providing shared machine learning models. For this experiment, the StyleGAN (to be more precise [https://github.com/NVlabs/stylegan2 StyleGAN2]) framework by NVIDIA was used, which gained popularity due to its ability of generating almost photorealistic faces. The model was trained with the [http://niessnerlab.org/projects/roessler2018faceforensics.html FaceForensics dataset] by Technische Universität München, consisting of videos of news hosts. Using [http://ffmpeg.org/ ffmpeg] a part of these video files were converted to image sequences and fed into RunwayML’s training system. After completing the training, a video was generated walking through different parameters for image generation, creating this fluid transition from one host to another.<br /> This training was completed after 2000 steps. The model can be expanded and the quality improved by continuing the training.<br /> <br /> [[File:runway.png]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=114144 2020-04-08T10:17:04Z

<p>Keno: /* Idea */ formatting</p> <hr /> <div>== News Anchors of the Future ==<br /> <br /> {{#ev:vimeo|404982095}}<br /> <br /> === Idea ===<br /> <br /> In the 1980s, British [https://www.channel4.com/ Channel 4] tried to imagine the TV of the future. They created Max Headroom as the host of a music show. He was supposed to be an AI character although played by an actual human actor, [https://en.wikipedia.org/wiki/Matt_Frewer Matt Frewer]. After shooting, the fragments were cut in a way that would be called “[https://www.pbs.org/video/off-book-art-glitch/ glitchy]” nowadays. This imperfection is a very important part of the character, serving as a signifier for an artificial humanoid character.<br /> <br /> {{#ev:youtube|vS17G1MXzLk}}<br /> <br /> When so called neural networks came up, a discussion starte about which kinds of labor can be done by so called artificial intelligence. Some people are convinced even artists and musicians will be replaced by computer systems.<br /> [https://en.wikipedia.org/wiki/Hatsune_Miku Hatsune Miku] was originally the name voicebank which can be used with Yamaha’s Vocaloid software. From 2010 on, albums for Hatsune Miku have been produced. In 2012 “she” gave her first concert as a holograph, gaining huge popularity.<br /> <br /> {{#ev:youtube|YSyWtESoeOc}}<br /> <br /> Max Headroom and Hatsune Miku are popular examples for avatars, fictional characters with a virtual representation created through CGI and video cutting techniques.<br /> With this history in mind, how would avatars for TV news look like? Having trained a machine learning model with news host images, the software can generate new news hosts. Most approaches aim at generating a photorealistic representation of a human. Referring to Max Headroom, it is more interesting to create avatars looking human-like, having some flaws, and thus, to include technical characteristics in the design process.<br /> <br /> === Production ===<br /> <br /> First tests were carried out with the [https://github.com/NVlabs/few-shot-vid2vid few-show-vid2vid] framework by NVIDIA. At this time, the idea was different: The news host were supposed to have dog faces. Due to technical problems this approach was abandoned for now.<br /> <br /> [[File:dog_01.gif]]<br /> <br /> [https://runwayml.com/ RunwayML] is a SaaS company providing shared machine learning models. For this experiment, the StyleGAN (to be more precise [https://github.com/NVlabs/stylegan2 StyleGAN2]) framework by NVIDIA was used, which gained popularity due to its ability of generating almost photorealistic faces. The model was trained with the [http://niessnerlab.org/projects/roessler2018faceforensics.html FaceForensics dataset] by Technische Universität München, consisting of videos of news hosts. Using [http://ffmpeg.org/ `ffmpeg`] a part of these video files were converted to image sequences and fed into RunwayML’s training system. After completing the training, a video was generated walking through different parameters for image generation, creating this fluid transition from one host to another.<br /> This training was completed after 2000 steps. The model can be expanded and the quality improved by continuing the training.<br /> <br /> [[File:runway.png]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=114143 2020-04-08T10:16:23Z

<p>Keno: /* News Anchors of the Future */</p> <hr /> <div>== News Anchors of the Future ==<br /> <br /> {{#ev:vimeo|404982095}}<br /> <br /> === Idea ===<br /> <br /> In the 1980s, British [https://www.channel4.com/ Channel 4] tried to imagine the TV of the future. They created Max Headroom as the host of a music show. He was supposed to be an AI character although played by an actual human actor, [Matt Frewer https://en.wikipedia.org/wiki/Matt_Frewer]. After shooting, the fragments were cut in a way that would be called “[https://www.pbs.org/video/off-book-art-glitch/ glitchy]” nowadays. This imperfection is a very important part of the character, serving as a signifier for an artificial humanoid character.<br /> <br /> {{#ev:youtube|vS17G1MXzLk}}<br /> <br /> When so called neural networks came up, a discussion starte about which kinds of labor can be done by so called artificial intelligence. Some people are convinced even artists and musicians will be replaced by computer systems.<br /> [https://en.wikipedia.org/wiki/Hatsune_Miku Hatsune Miku] was originally the name voicebank which can be used with Yamaha’s Vocaloid software. From 2010 on, albums for Hatsune Miku have been produced. In 2012 “she” gave her first concert as a holograph, gaining huge popularity.<br /> <br /> {{#ev:youtube|YSyWtESoeOc}}<br /> <br /> Max Headroom and Hatsune Miku are popular examples for avatars, fictional characters with a virtual representation created through CGI and video cutting techniques.<br /> With this history in mind, how would avatars for TV news look like? Having trained a machine learning model with news host images, the software can generate new news hosts. Most approaches aim at generating a photorealistic representation of a human. Referring to Max Headroom, it is more interesting to create avatars looking human-like, having some flaws, and thus, to include technical characteristics in the design process.<br /> <br /> === Production ===<br /> <br /> First tests were carried out with the [https://github.com/NVlabs/few-shot-vid2vid few-show-vid2vid] framework by NVIDIA. At this time, the idea was different: The news host were supposed to have dog faces. Due to technical problems this approach was abandoned for now.<br /> <br /> [[File:dog_01.gif]]<br /> <br /> [https://runwayml.com/ RunwayML] is a SaaS company providing shared machine learning models. For this experiment, the StyleGAN (to be more precise [https://github.com/NVlabs/stylegan2 StyleGAN2]) framework by NVIDIA was used, which gained popularity due to its ability of generating almost photorealistic faces. The model was trained with the [http://niessnerlab.org/projects/roessler2018faceforensics.html FaceForensics dataset] by Technische Universität München, consisting of videos of news hosts. Using [http://ffmpeg.org/ `ffmpeg`] a part of these video files were converted to image sequences and fed into RunwayML’s training system. After completing the training, a video was generated walking through different parameters for image generation, creating this fluid transition from one host to another.<br /> This training was completed after 2000 steps. The model can be expanded and the quality improved by continuing the training.<br /> <br /> [[File:runway.png]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=File:Runway.png&diff=114142 2020-04-08T10:15:34Z

<p>Keno: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status: ==<br /> <br /> == Source: ==</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=114141 2020-04-08T10:15:09Z

<p>Keno: </p> <hr /> <div>= News Anchors of the Future =<br /> <br /> {{#ev:vimeo|404982095}}<br /> <br /> == Idea ==<br /> <br /> In the 1980s, British [https://www.channel4.com/ Channel 4] tried to imagine the TV of the future. They created Max Headroom as the host of a music show. He was supposed to be an AI character although played by an actual human actor, [Matt Frewer https://en.wikipedia.org/wiki/Matt_Frewer]. After shooting, the fragments were cut in a way that would be called “[https://www.pbs.org/video/off-book-art-glitch/ glitchy]” nowadays. This imperfection is a very important part of the character, serving as a signifier for an artificial humanoid character.<br /> <br /> {{#ev:youtube|vS17G1MXzLk}}<br /> <br /> When so called neural networks came up, a discussion starte about which kinds of labor can be done by so called artificial intelligence. Some people are convinced even artists and musicians will be replaced by computer systems.<br /> [https://en.wikipedia.org/wiki/Hatsune_Miku Hatsune Miku] was originally the name voicebank which can be used with Yamaha’s Vocaloid software. From 2010 on, albums for Hatsune Miku have been produced. In 2012 “she” gave her first concert as a holograph, gaining huge popularity.<br /> <br /> {{#ev:youtube|YSyWtESoeOc}}<br /> <br /> Max Headroom and Hatsune Miku are popular examples for avatars, fictional characters with a virtual representation created through CGI and video cutting techniques.<br /> With this history in mind, how would avatars for TV news look like? Having trained a machine learning model with news host images, the software can generate new news hosts. Most approaches aim at generating a photorealistic representation of a human. Referring to Max Headroom, it is more interesting to create avatars looking human-like, having some flaws, and thus, to include technical characteristics in the design process.<br /> <br /> == Production ==<br /> <br /> First tests were carried out with the [https://github.com/NVlabs/few-shot-vid2vid few-show-vid2vid] framework by NVIDIA. At this time, the idea was different: The news host were supposed to have dog faces. Due to technical problems this approach was abandoned for now.<br /> <br /> [[File:dog_01.gif]]<br /> <br /> [https://runwayml.com/ RunwayML] is a SaaS company providing shared machine learning models. For this experiment, the StyleGAN (to be more precise [https://github.com/NVlabs/stylegan2 StyleGAN2]) framework by NVIDIA was used, which gained popularity due to its ability of generating almost photorealistic faces. The model was trained with the [http://niessnerlab.org/projects/roessler2018faceforensics.html FaceForensics dataset] by Technische Universität München, consisting of videos of news hosts. Using [http://ffmpeg.org/ `ffmpeg`] a part of these video files were converted to image sequences and fed into RunwayML’s training system. After completing the training, a video was generated walking through different parameters for image generation, creating this fluid transition from one host to another.<br /> This training was completed after 2000 steps. The model can be expanded and the quality improved by continuing the training.<br /> <br /> [[File:runway.png]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=114140 2020-04-08T10:14:46Z

<p>Keno: Added documentation</p> <hr /> <div>= News Anchors of the Future =<br /> <br /> {{#ev:vimeo|404982095}}<br /> <br /> == Idea ==<br /> <br /> In the 1980s, British [https://www.channel4.com/ Channel 4] tried to imagine the TV of the future. They created Max Headroom as the host of a music show. He was supposed to be an AI character although played by an actual human actor, [Matt Frewer https://en.wikipedia.org/wiki/Matt_Frewer]. After shooting, the fragments were cut in a way that would be called “[https://www.pbs.org/video/off-book-art-glitch/ glitchy]” nowadays. This imperfection is a very important part of the character, serving as a signifier for an artificial humanoid character.<br /> <br /> {{#ev:youtube|vS17G1MXzLk}}<br /> <br /> When so called neural networks came up, a discussion starte about which kinds of labor can be done by so called artificial intelligence. Some people are convinced even artists and musicians will be replaced by computer systems.<br /> [https://en.wikipedia.org/wiki/Hatsune_Miku Hatsune Miku] was originally the name voicebank which can be used with Yamaha’s Vocaloid software. From 2010 on, albums for Hatsune Miku have been produced. In 2012 “she” gave her first concert as a holograph, gaining huge popularity.<br /> <br /> {{#ev:youtube|YSyWtESoeOc}}<br /> <br /> Max Headroom and Hatsune Miku are popular examples for avatars, fictional characters with a virtual representation created through CGI and video cutting techniques.<br /> With this history in mind, how would avatars for TV news look like? Having trained a machine learning model with news host images, the software can generate new news hosts. Most approaches aim at generating a photorealistic representation of a human. Referring to Max Headroom, it is more interesting to create avatars looking human-like, having some flaws, and thus, to include technical characteristics in the design process.<br /> <br /> == Production ==<br /> <br /> First tests were carried out with the [https://github.com/NVlabs/few-shot-vid2vid few-show-vid2vid] framework by NVIDIA. At this time, the idea was different: The news host were supposed to have dog faces. Due to technical problems this approach was abandoned for now.<br /> <br /> [[File:dog_01.gif]]<br /> <br /> [https://runwayml.com/ RunwayML] is a SaaS company providing shared machine learning models. For this experiment, the StyleGAN (to be more precise [https://github.com/NVlabs/stylegan2 StyleGAN2]) framework by NVIDIA was used, which gained popularity due to its ability of generating almost photorealistic faces. The model was trained with the [http://niessnerlab.org/projects/roessler2018faceforensics.html FaceForensics dataset] by Technische Universität München, consisting of videos of news hosts. Using [http://ffmpeg.org/ `ffmpeg`] a part of these video files were converted to image sequences and fed into RunwayML’s training system. After completing the training, a video was generated walking through different parameters for image generation, creating this fluid transition from one host to another.<br /> This training was completed after 2000 steps. The model can be expanded and the quality improved by continuing the training.<br /> <br /> [File:runway.png]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=114044 2020-04-07T14:00:37Z

<p>Keno: Added result video</p> <hr /> <div>{{#ev:vimeo|404982095}}<br /> <br /> [[File:dog_01.gif]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=113895 2020-03-30T10:25:07Z

<p>Keno: </p> <hr /> <div>[[File:dog_01.gif]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=113894 2020-03-30T10:24:56Z

<p>Keno: </p> <hr /> <div>[File:dog_01.gif]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=File:Dog_01.gif&diff=113893 2020-03-30T10:23:50Z

<p>Keno: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status: ==<br /> <br /> == Source: ==</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Keno&diff=113892 2020-03-30T10:19:53Z

<p>Keno: Created page with &quot;File:dog_01.gif&quot;</p> <hr /> <div>[[File:dog_01.gif]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut&diff=113891 2020-03-30T10:19:32Z

<p>Keno: /* Final work */</p> <hr /> <div>''Lecturer:'' [[GMU:Max Neupert|Max Neupert]]&lt;br&gt;<br /> ''Credits:'' 6 [[ECTS]], 4 [[SWS]]&lt;br&gt;<br /> ''Date:'' Mondays, 09:15-12:30&lt;br&gt;<br /> ''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Raum 204]]&lt;br&gt;<br /> ''First meeting:'' Monday, 14th of October 09:15-12:30&lt;br&gt;<br /> Course language is English<br /> <br /> ==Procedural Cut: Algorithmic Micro-editing==<br /> Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, [[wikipedia:Microhouse|microhouse]] is a subgenre of house which employs this technique. [[wikipedia:Akufen|Akufen]]'s ''Deck the House'' from 2002 may serve as an example. In the context of experimental film, [[wikipedia:Martin Arnold|Martin Arnold]] compiled his 1989 montage “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. [[wikipedia:Steina und Woody Vasulka|Steina Vasulka]], [[wikipedia:Kurt Hentschlager#Granular-Synthesis|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. <br /> <br /> 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 [[wikipedia:Supercut|supercuts]]: compilations of short shots of the same action, or [[wikipedia:YouTube Poop|YouTube Poop]] mashups of videos with a comical and at times immature humour: <br /> <br /> 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.<br /> <br /> In the class ''Procedural Cut: Algorithmic Micro-editing'' we will learn to let algorithms cut and edit.<br /> <br /> This class builds upon two previous classes: [[GMU:Breaking the Timeline]] and [[GMU:Bits, Beats &amp; Pieces]].<br /> No previous knowledge is required.<br /> <br /> ==Syllabus==<br /> # 2019-10-21 [[/Early Montages and Flicker/]]<br /> # 2019-10-28 [[/Supercuts/]]<br /> # 2019-11-04 Lecture Joachim Goßmann<br /> # 2019-11-11<br /> # 2019-11-18<br /> # 2019-11-25<br /> # 2019-12-02<br /> # 2019-12-09 [[/Musical recombinations/]]<br /> # 2019-12-16<br /> # 2020-01-06<br /> # 2020-01-13<br /> # 2020-01-20<br /> # 2020-01-27<br /> # 2020-02-03 <br /> # 2020-02-10 Presentation<br /> <br /> Deadline for documentation: 2020-03-31<br /> <br /> ==Assignments==<br /> # [[/Assignment Supercut/]]<br /> # [[/Assignment Sequence/]]<br /> # [[/Assignment Object Recognition/]]<br /> # [[/Assignment Subtitle Automate/]]<br /> <br /> ==Final work==<br /> * [[/Konrad/]]<br /> * [[/Cornelius/]]<br /> * [[/Xinyue/]]<br /> * [[/Keno/]]<br /> <br /> == Files==<br /> * [https://github.com/BauhausUniversity/cuttlefish/tree/master Cuttlefish] Python scripts and tools<br /> * [[Audiovideo]] Pure Data Workshop<br /> <br /> == Links ==<br /> * [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]<br /> * http://thisunruly.com<br /> * http://reorder.tv<br /> * https://www.reclaimingremix.com<br /> * [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]<br /> * [[wikipedia:Edit decision list]] EDL<br /> * [[wikipedia:Regular expression]] Online regex tester: [https://regex101.com RegEx101]<br /> * David Claerbout - The pure necessity https://www.instagram.com/p/B3nHj-MgEyj/ &amp; https://davidclaerbout.com/The-pure-necessity-2016<br /> <br /> == Software ==<br /> * [[Audio tools]]<br /> * [[Video tools]]<br /> <br /> * [https://code.visualstudio.com Microsoft Visual Studio Code] Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://vscodium.com VSCodium] Visual Studio Code without the Microsoft telemetry &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> * [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 -&gt; Media Information, copy the Location and paste back into the Browser from where you can save it) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://downsub.com downsub.com] Web service to get the subtitles from a YouTube video &lt;span style=&quot;color:#ff0000 &gt;(web-service)&lt;/span&gt;<br /> * [http://www.aegisub.org Aegisub] Subtitle Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.praxislive.org Praxis Live] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://jupyter.org Jupyter Notebook] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> * [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/deepfakes/faceswap Deepfakes Faceswap] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/apreshill/bakeoff apreshill/bakeoff] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/NVlabs/few-shot-vid2vid NVlabs/few-shot-vid2vid] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> ==See also==<br /> * [[Open Frameworks]]<br /> * [[Processing]]<br /> * [[Pure Data - Getting started]]<br /> <br /> <br /> [[Category:Max Neupert]]<br /> [[Category:WS19]]<br /> [[Category:Fachmodul]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut&diff=113246 2020-01-16T07:08:52Z

<p>Keno: /* Software */</p> <hr /> <div>''Lecturer:'' [[GMU:Max Neupert|Max Neupert]]&lt;br&gt;<br /> ''Credits:'' 6 [[ECTS]], 4 [[SWS]]&lt;br&gt;<br /> ''Date:'' Mondays, 09:15-12:30&lt;br&gt;<br /> ''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Raum 204]]&lt;br&gt;<br /> ''First meeting:'' Monday, 14th of October 09:15-12:30&lt;br&gt;<br /> Course language is English<br /> <br /> ==Procedural Cut: Algorithmic Micro-editing==<br /> Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, [[wikipedia:Microhouse|microhouse]] is a subgenre of house which employs this technique. [[wikipedia:Akufen|Akufen]]'s ''Deck the House'' from 2002 may serve as an example. In the context of experimental film, [[wikipedia:Martin Arnold|Martin Arnold]] compiled his 1989 montage “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. [[wikipedia:Steina und Woody Vasulka|Steina Vasulka]], [[wikipedia:Kurt Hentschlager#Granular-Synthesis|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. <br /> <br /> 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 [[wikipedia:Supercut|supercuts]]: compilations of short shots of the same action, or [[wikipedia:YouTube Poop|YouTube Poop]] mashups of videos with a comical and at times immature humour: <br /> <br /> 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.<br /> <br /> In the class ''Procedural Cut: Algorithmic Micro-editing'' we will learn to let algorithms cut and edit.<br /> <br /> This class builds upon two previous classes: [[GMU:Breaking the Timeline]] and [[GMU:Bits, Beats &amp; Pieces]].<br /> No previous knowledge is required.<br /> <br /> ==Syllabus==<br /> # 2019-10-21 [[/Early Montages and Flicker/]]<br /> # 2019-10-28 [[/Supercuts/]]<br /> # 2019-11-04 Lecture Joachim Goßmann<br /> # 2019-11-11<br /> # 2019-11-18<br /> # 2019-11-25<br /> # 2019-12-02<br /> # 2019-12-09 [[/Musical recombinations/]]<br /> # 2019-12-16<br /> # 2020-01-06<br /> # 2020-01-13<br /> # 2020-01-20<br /> # 2020-01-27<br /> # 2020-02-03 Presentation<br /> # 2020-02-10 Possible extra meeting to make up for the late start<br /> <br /> ==Assignments==<br /> # [[/Assignment Supercut/]]<br /> # [[/Assignment Sequence/]]<br /> # [[/Assignment Object Recognition/]]<br /> # [[/Assignment Subtitle Automate/]]<br /> <br /> == Files==<br /> * [https://github.com/BauhausUniversity/cuttlefish/tree/master Cuttlefish] Python scripts and tools<br /> * [[Audiovideo]] Pure Data Workshop<br /> <br /> == Links ==<br /> * [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]<br /> * http://thisunruly.com<br /> * http://reorder.tv<br /> * https://www.reclaimingremix.com<br /> * [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]<br /> * [[wikipedia:Edit decision list]] EDL<br /> * [[wikipedia:Regular expression]] Online regex tester: [https://regex101.com RegEx101]<br /> <br /> == Software ==<br /> * [[Audio tools]]<br /> * [[Video tools]]<br /> <br /> * [https://code.visualstudio.com Microsoft Visual Studio Code] Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://vscodium.com VSCodium] Visual Studio Code without the Microsoft telemetry &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> * [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 -&gt; Media Information, copy the Location and paste back into the Browser from where you can save it) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://downsub.com downsub.com] Web service to get the subtitles from a YouTube video &lt;span style=&quot;color:#ff0000 &gt;(web-service)&lt;/span&gt;<br /> * [http://www.aegisub.org Aegisub] Subtitle Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.praxislive.org Praxis Live] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://jupyter.org Jupyter Notebook] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> * [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/deepfakes/faceswap Deepfakes Faceswap] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/apreshill/bakeoff apreshill/bakeoff] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/NVlabs/few-shot-vid2vid NVlabs/few-shot-vid2vid] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> ==See also==<br /> * [[Open Frameworks]]<br /> * [[Processing]]<br /> * [[Pure Data - Getting started]]<br /> <br /> <br /> [[Category:Max Neupert]]<br /> [[Category:WS19]]<br /> [[Category:Fachmodul]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut&diff=113207 2020-01-06T10:02:03Z

<p>Keno: /* Software */ Added bakeoff</p> <hr /> <div>''Lecturer:'' [[GMU:Max Neupert|Max Neupert]]&lt;br&gt;<br /> ''Credits:'' 6 [[ECTS]], 4 [[SWS]]&lt;br&gt;<br /> ''Date:'' Mondays, 09:15-12:30&lt;br&gt;<br /> ''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Raum 204]]&lt;br&gt;<br /> ''First meeting:'' Monday, 14th of October 09:15-12:30&lt;br&gt;<br /> Course language is English<br /> <br /> ==Procedural Cut: Algorithmic Micro-editing==<br /> Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, [[wikipedia:Microhouse|microhouse]] is a subgenre of house which employs this technique. [[wikipedia:Akufen|Akufen]]'s ''Deck the House'' from 2002 may serve as an example. In the context of experimental film, [[wikipedia:Martin Arnold|Martin Arnold]] compiled his 1989 montage “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. [[wikipedia:Steina und Woody Vasulka|Steina Vasulka]], [[wikipedia:Kurt Hentschlager#Granular-Synthesis|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. <br /> <br /> 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 [[wikipedia:Supercut|supercuts]]: compilations of short shots of the same action, or [[wikipedia:YouTube Poop|YouTube Poop]] mashups of videos with a comical and at times immature humour: <br /> <br /> 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.<br /> <br /> In the class ''Procedural Cut: Algorithmic Micro-editing'' we will learn to let algorithms cut and edit.<br /> <br /> This class builds upon two previous classes: [[GMU:Breaking the Timeline]] and [[GMU:Bits, Beats &amp; Pieces]].<br /> No previous knowledge is required.<br /> <br /> ==Syllabus==<br /> # 2019-10-21 [[/Early Montages and Flicker/]]<br /> # 2019-10-28 [[/Supercuts/]]<br /> # 2019-11-04 Lecture Joachim Goßmann<br /> # 2019-11-11<br /> # 2019-11-18<br /> # 2019-11-25<br /> # 2019-12-02<br /> # 2019-12-09 [[/Musical recombinations/]]<br /> # 2019-12-16<br /> # 2020<br /> <br /> ==Assignments==<br /> # [[/Assignment Supercut/]]<br /> # [[/Assignment Sequence/]]<br /> # [[/Assignment Object Recognition/]]<br /> # [[/Assignment Subtitle Automate/]]<br /> <br /> == Files==<br /> * [https://github.com/BauhausUniversity/cuttlefish/tree/master Cuttlefish] Python scripts and tools<br /> * [[Audiovideo]] Pure Data Workshop<br /> <br /> == Links ==<br /> * [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]<br /> * http://thisunruly.com<br /> * http://reorder.tv<br /> * https://www.reclaimingremix.com<br /> * [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]<br /> * [[wikipedia:Edit decision list]] EDL<br /> * [[wikipedia:Regular expression]] Online regex tester: [https://regex101.com RegEx101]<br /> <br /> == Software ==<br /> * [[Audio tools]]<br /> * [[Video tools]]<br /> <br /> * [https://code.visualstudio.com Microsoft Visual Studio Code] Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://vscodium.com VSCodium] Visual Studio Code without the Microsoft telemetry &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> * [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 -&gt; Media Information, copy the Location and paste back into the Browser from where you can save it) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://downsub.com downsub.com] Web service to get the subtitles from a YouTube video &lt;span style=&quot;color:#ff0000 &gt;(web-service)&lt;/span&gt;<br /> * [http://www.aegisub.org Aegisub] Subtitle Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.praxislive.org Praxis Live] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://jupyter.org Jupyter Notebook] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> * [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/deepfakes/faceswap Deepfakes Faceswap] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/apreshill/bakeoff apreshill/bakeoff] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> ==See also==<br /> * [[Open Frameworks]]<br /> * [[Processing]]<br /> * [[Pure Data - Getting started]]<br /> <br /> <br /> [[Category:Max Neupert]]<br /> [[Category:WS19]]<br /> [[Category:Fachmodul]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Supercuts&diff=112915 2019-12-08T07:23:04Z

<p>Keno: </p> <hr /> <div>* Kim Beom: Untitled (News) 2002<br /> * Omer Fast: CNN Concatenated 2002<br /> * [https://knowyourmeme.com/memes/subcultures/local58 Local58]<br /> * [https://www.youtube.com/watch?v=cD3QlR98--A Hlavní nádraží Praha – znělka 02 (Dlouhá verze)]<br /> <br /> <br /> <br /> * https://www.wired.com/story/supercut-video-rise-and-fall/<br /> * https://www.fastcompany.com/1682740/a-modern-genre-how-to-make-a-supercut<br /> * https://web.archive.org/web/20150725141914/http://supercut.org/</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Supercuts&diff=112914 2019-12-08T07:22:49Z

<p>Keno: </p> <hr /> <div>* Kim Beom: Untitled (News) 2002<br /> * Omer Fast: CNN Concatenated 2002<br /> * [https://knowyourmeme.com/memes/subcultures/local58 Local58]<br /> * [https://www.youtube.com/watch?v=cD3QlR98--A Hlavní nádraží Praha - znělka 02 (Dlouhá verze)]<br /> <br /> <br /> <br /> * https://www.wired.com/story/supercut-video-rise-and-fall/<br /> * https://www.fastcompany.com/1682740/a-modern-genre-how-to-make-a-supercut<br /> * https://web.archive.org/web/20150725141914/http://supercut.org/</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut&diff=112835 2019-12-02T09:56:25Z

<p>Keno: VSCodium</p> <hr /> <div>''Lecturer:'' [[GMU:Max Neupert|Max Neupert]]&lt;br&gt;<br /> ''Credits:'' 6 [[ECTS]], 4 [[SWS]]&lt;br&gt;<br /> ''Date:'' Mondays, 09:15-12:30&lt;br&gt;<br /> ''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Raum 204]]&lt;br&gt;<br /> ''First meeting:'' Monday, 14th of October 09:15-12:30&lt;br&gt;<br /> Course language is English<br /> <br /> ==Procedural Cut: Algorithmic Micro-editing==<br /> Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, [[wikipedia:Microhouse|microhouse]] is a subgenre of house which employs this technique. [[wikipedia:Akufen|Akufen]]'s ''Deck the House'' from 2002 may serve as an example. In the context of experimental film, [[wikipedia:Martin Arnold|Martin Arnold]] compiled his 1989 montage “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. [[wikipedia:Steina und Woody Vasulka|Steina Vasulka]], [[wikipedia:Kurt Hentschlager#Granular-Synthesis|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. <br /> <br /> 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 [[wikipedia:Supercut|supercuts]]: compilations of short shots of the same action, or [[wikipedia:YouTube Poop|YouTube Poop]] mashups of videos with a comical and at times immature humour: <br /> <br /> 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.<br /> <br /> In the class ''Procedural Cut: Algorithmic Micro-editing'' we will learn to let algorithms cut and edit.<br /> <br /> This class builds upon two previous classes: [[GMU:Breaking the Timeline]] and [[GMU:Bits, Beats &amp; Pieces]].<br /> No previous knowledge is required.<br /> <br /> ==Syllabus==<br /> # 2019-10-21 [[/Early Montages and Flicker/]]<br /> # 2019-10-28 [[/Supercuts/]]<br /> # 2019-11-04 Lecture Joachim Goßmann<br /> # 2019-11-11 <br /> <br /> ==Assignments==<br /> # [[/Assignment Supercut/]]<br /> # [[/Assignment Sequence/]]<br /> # [[/Assignment Object Recognition/]]<br /> <br /> ==Workshop files==<br /> * [[Audiovideo]]<br /> <br /> == Links ==<br /> * [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]<br /> * [[wikipedia:Edit decision list]] EDL<br /> * [[wikipedia:Regular expression]]<br /> <br /> == Software ==<br /> * [https://shotcut.org Shotcut] Non-Linear Video Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.ardour.org Ardour] Non-Linear Digital Audio Workstation (DAW) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.reaper.fm Reaper] Non-Linear Digital Audio Workstation (DAW) &lt;span style=&quot;color:#ff0000 &gt;(proprietary)&lt;/span&gt;<br /> ** [https://reapack.com Reapack] Package Manager for Reaper<br /> ** [https://sws-extension.org SWS Extension] for Reaper<br /> * [https://code.visualstudio.com Microsoft Visual Studio Code] Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://vscodium.com/ VSCodium] Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [http://www.aegisub.org Aegisub] Subtitle Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [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 -&gt; Media Information, copy the Location and paste back into the Browser from where you can save it) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * https://downsub.com Web service to get the subtitles from a YouTube video &lt;span style=&quot;color:#ff0000 &gt;(web-service)&lt;/span&gt;<br /> * [https://www.praxislive.org Praxis Live] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://jupyter.org Jupyter Notebook] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [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]) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [http://www.gpac.io GPAC] a media framework like ffmpeg but with an easier syntax &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/deepfakes/faceswap Deepfakes Faceswap] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://regex101.com/ RegEx101] online regex tester &lt;span style=&quot;color:#ff0000 &gt;(web-service)&lt;/span&gt;<br /> <br /> ==See also==<br /> * [[Open Frameworks]]<br /> * [[Processing]]<br /> * [[Pure Data - Getting started]]<br /> <br /> <br /> [[Category:Max Neupert]]<br /> [[Category:WS19]]<br /> [[Category:Fachmodul]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut&diff=112834 2019-12-02T09:26:52Z

<p>Keno: Adding RegEx101</p> <hr /> <div>''Lecturer:'' [[GMU:Max Neupert|Max Neupert]]&lt;br&gt;<br /> ''Credits:'' 6 [[ECTS]], 4 [[SWS]]&lt;br&gt;<br /> ''Date:'' Mondays, 09:15-12:30&lt;br&gt;<br /> ''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Raum 204]]&lt;br&gt;<br /> ''First meeting:'' Monday, 14th of October 09:15-12:30&lt;br&gt;<br /> Course language is English<br /> <br /> ==Procedural Cut: Algorithmic Micro-editing==<br /> Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, [[wikipedia:Microhouse|microhouse]] is a subgenre of house which employs this technique. [[wikipedia:Akufen|Akufen]]'s ''Deck the House'' from 2002 may serve as an example. In the context of experimental film, [[wikipedia:Martin Arnold|Martin Arnold]] compiled his 1989 montage “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. [[wikipedia:Steina und Woody Vasulka|Steina Vasulka]], [[wikipedia:Kurt Hentschlager#Granular-Synthesis|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. <br /> <br /> 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 [[wikipedia:Supercut|supercuts]]: compilations of short shots of the same action, or [[wikipedia:YouTube Poop|YouTube Poop]] mashups of videos with a comical and at times immature humour: <br /> <br /> 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.<br /> <br /> In the class ''Procedural Cut: Algorithmic Micro-editing'' we will learn to let algorithms cut and edit.<br /> <br /> This class builds upon two previous classes: [[GMU:Breaking the Timeline]] and [[GMU:Bits, Beats &amp; Pieces]].<br /> No previous knowledge is required.<br /> <br /> ==Syllabus==<br /> # 2019-10-21 [[/Early Montages and Flicker/]]<br /> # 2019-10-28 [[/Supercuts/]]<br /> # 2019-11-04 Lecture Joachim Goßmann<br /> # 2019-11-11 <br /> <br /> ==Assignments==<br /> # [[/Assignment Supercut/]]<br /> # [[/Assignment Sequence/]]<br /> # [[/Assignment Object Recognition/]]<br /> <br /> ==Workshop files==<br /> * [[Audiovideo]]<br /> <br /> == Links ==<br /> * [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]<br /> * [[wikipedia:Edit decision list]] EDL<br /> * [[wikipedia:Regular expression]]<br /> <br /> == Software ==<br /> * [https://shotcut.org Shotcut] Non-Linear Video Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.ardour.org Ardour] Non-Linear Digital Audio Workstation (DAW) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.reaper.fm Reaper] Non-Linear Digital Audio Workstation (DAW) &lt;span style=&quot;color:#ff0000 &gt;(proprietary)&lt;/span&gt;<br /> ** [https://reapack.com Reapack] Package Manager for Reaper<br /> ** [https://sws-extension.org SWS Extension] for Reaper<br /> * [https://code.visualstudio.com Microsoft Visual Studio Code] Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [http://www.aegisub.org Aegisub] Subtitle Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [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 -&gt; Media Information, copy the Location and paste back into the Browser from where you can save it) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * https://downsub.com Web service to get the subtitles from a YouTube video &lt;span style=&quot;color:#ff0000 &gt;(web-service)&lt;/span&gt;<br /> * [https://www.praxislive.org Praxis Live] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://jupyter.org Jupyter Notebook] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [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]) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [http://www.gpac.io GPAC] a media framework like ffmpeg but with an easier syntax &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/deepfakes/faceswap Deepfakes Faceswap] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://regex101.com/ RegEx101] online regex tester &lt;span style=&quot;color:#ff0000 &gt;(web-service)&lt;/span&gt;<br /> <br /> ==See also==<br /> * [[Open Frameworks]]<br /> * [[Processing]]<br /> * [[Pure Data - Getting started]]<br /> <br /> <br /> [[Category:Max Neupert]]<br /> [[Category:WS19]]<br /> [[Category:Fachmodul]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Supercuts&diff=112746 2019-11-23T10:50:02Z

<p>Keno: </p> <hr /> <div>* Kim Beom: Untitled (News) 2002<br /> * Omer Fast: CNN Concatenated 2002<br /> * [https://knowyourmeme.com/memes/subcultures/local58 Local58]<br /> <br /> <br /> <br /> <br /> * https://www.wired.com/story/supercut-video-rise-and-fall/<br /> * https://www.fastcompany.com/1682740/a-modern-genre-how-to-make-a-supercut<br /> * https://web.archive.org/web/20150725141914/http://supercut.org/</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Object_Recognition&diff=112745 2019-11-23T08:26:31Z

<p>Keno: /* Output */</p> <hr /> <div>This Assignment is a bit different. There is no precise instruction. Goal is to edit video according to image analysis, or more specifically: Object recognition. For this assignment everyone needs to communicate to coordinate the effort and share ideas how to reach that goal. Edit this page here.<br /> <br /> <br /> == Example ==<br /> <br /> Object detection using [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and YOLO].<br /> <br /> === Input ===<br /> [[File:input_dog.mp4]]<br /> <br /> === Output ===<br /> [[File:output_dog.mp4]]<br /> <br /> [[File:log_dog.txt]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=File:Output_dog.mp4&diff=112744 2019-11-23T08:25:57Z

<p>Keno: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status: ==<br /> <br /> == Licensing ==<br /> {{self|Cc-zero}}<br /> == Source: ==</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Object_Recognition&diff=112743 2019-11-23T08:25:08Z

<p>Keno: /* Example */</p> <hr /> <div>This Assignment is a bit different. There is no precise instruction. Goal is to edit video according to image analysis, or more specifically: Object recognition. For this assignment everyone needs to communicate to coordinate the effort and share ideas how to reach that goal. Edit this page here.<br /> <br /> <br /> == Example ==<br /> <br /> Object detection using [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and YOLO].<br /> <br /> === Input ===<br /> [[File:input_dog.mp4]]<br /> <br /> === Output ===<br /> [[File:output_dog.mp4]]<br /> [[File:log_dog.txt]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Object_Recognition&diff=112742 2019-11-23T08:03:49Z

<p>Keno: /* Output */</p> <hr /> <div>This Assignment is a bit different. There is no precise instruction. Goal is to edit video according to image analysis, or more specifically: Object recognition. For this assignment everyone needs to communicate to coordinate the effort and share ideas how to reach that goal. Edit this page here.<br /> <br /> <br /> == Example ==<br /> <br /> Object detection using [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and Yolo].<br /> <br /> === Input ===<br /> [[File:input_dog.mp4]]<br /> <br /> === Output ===<br /> [[File:log_dog.txt]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=File:Log_dog.txt&diff=112741 2019-11-23T08:03:25Z

<p>Keno: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status: ==<br /> <br /> == Licensing ==<br /> {{self|Cc-zero}}<br /> == Source: ==</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=File:Input_dog.mp4&diff=112740 2019-11-23T08:01:45Z

<p>Keno: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status: ==<br /> <br /> == Source: ==</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Object_Recognition&diff=112739 2019-11-23T08:01:26Z

<p>Keno: </p> <hr /> <div>This Assignment is a bit different. There is no precise instruction. Goal is to edit video according to image analysis, or more specifically: Object recognition. For this assignment everyone needs to communicate to coordinate the effort and share ideas how to reach that goal. Edit this page here.<br /> <br /> <br /> == Example ==<br /> <br /> Object detection using [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and Yolo].<br /> <br /> === Input ===<br /> [[File:input_dog.mp4]]<br /> <br /> === Output ===<br /> [[File:log.txt]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut&diff=112693 2019-11-19T07:45:50Z

<p>Keno: /* Software */ Adding Deepfake software.</p> <hr /> <div>''Lecturer:'' [[GMU:Max Neupert|Max Neupert]]&lt;br&gt;<br /> ''Credits:'' 6 [[ECTS]], 4 [[SWS]]&lt;br&gt;<br /> ''Date:'' Mondays, 09:15-12:30&lt;br&gt;<br /> ''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Raum 204]]&lt;br&gt;<br /> ''First meeting:'' Monday, 14th of October 09:15-12:30&lt;br&gt;<br /> Course language is English<br /> <br /> ==Procedural Cut: Algorithmic Micro-editing==<br /> Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, [[wikipedia:Microhouse|microhouse]] is a subgenre of house which employs this technique. [[wikipedia:Akufen|Akufen]]'s ''Deck the House'' from 2002 may serve as an example. In the context of experimental film, [[wikipedia:Martin Arnold|Martin Arnold]] compiled his 1989 montage “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. [[wikipedia:Steina und Woody Vasulka|Steina Vasulka]], [[wikipedia:Kurt Hentschlager#Granular-Synthesis|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. <br /> <br /> 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 [[wikipedia:Supercut|supercuts]]: compilations of short shots of the same action, or [[wikipedia:YouTube Poop|YouTube Poop]] mashups of videos with a comical and at times immature humour: <br /> <br /> 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.<br /> <br /> In the class ''Procedural Cut: Algorithmic Micro-editing'' we will learn to let algorithms cut and edit.<br /> <br /> This class builds upon two previous classes: [[GMU:Breaking the Timeline]] and [[GMU:Bits, Beats &amp; Pieces]].<br /> No previous knowledge is required.<br /> <br /> ==Syllabus==<br /> # 2019-10-21 [[/Early Montages and Flicker/]]<br /> # 2019-10-28 [[/Supercuts/]]<br /> # 2019-11-04 Lecture Joachim Goßmann<br /> # 2019-11-11 <br /> <br /> ==Assignments==<br /> # [[/Assignment Supercut/]]<br /> # [[/Assignment Sequence/]]<br /> # [[/Assignment Object Recognition/]]<br /> <br /> ==Workshop files==<br /> * [[Audiovideo]]<br /> <br /> == Links ==<br /> * [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]<br /> * [[wikipedia:Edit decision list]] EDL<br /> * [[wikipedia:Regular expression]]<br /> <br /> == Software ==<br /> * [https://shotcut.org Shotcut] Non-Linear Video Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.ardour.org Ardour] Non-Linear Digital Audio Workstation (DAW) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://www.reaper.fm Reaper] Non-Linear Digital Audio Workstation (DAW) &lt;span style=&quot;color:#ff0000 &gt;(proprietary)&lt;/span&gt;<br /> ** [https://reapack.com Reapack] Package Manager for Reaper<br /> ** [https://sws-extension.org SWS Extension] for Reaper<br /> * [https://code.visualstudio.com Microsoft Visual Studio Code] Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [http://www.aegisub.org Aegisub] Subtitle Editor &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [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 -&gt; Media Information, copy the Location and paste back into the Browser from where you can save it) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * https://downsub.com Web service to get the subtitles from a YouTube video &lt;span style=&quot;color:#ff0000 &gt;(web-service)&lt;/span&gt;<br /> * [https://www.praxislive.org Praxis Live] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> ** [https://jupyter.org Jupyter Notebook] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [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]) &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [http://www.gpac.io GPAC] a media framework like ffmpeg but with an easier syntax &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> * [https://github.com/deepfakes/faceswap Deepfakes Faceswap] &lt;span style=&quot;color:#008000&gt;(open source)&lt;/span&gt;<br /> <br /> ==See also==<br /> * [[Open Frameworks]]<br /> * [[Processing]]<br /> * [[Pure Data - Getting started]]<br /> <br /> <br /> [[Category:Max Neupert]]<br /> [[Category:WS19]]<br /> [[Category:Fachmodul]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=File:Hackerman.gif&diff=112671 2019-11-18T09:38:03Z

<p>Keno: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status: ==<br /> <br /> == Licensing ==<br /> {{subst:nld}}<br /> == Source: ==</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=User:Keno&diff=112670 2019-11-18T09:37:40Z

<p>Keno: </p> <hr /> <div>[[File:hackerman.gif]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=File:MDoinap.mp4&diff=112637 2019-11-17T12:56:43Z

<p>Keno: </p> <hr /> <div>== Summary ==<br /> <br /> == Copyright status: ==<br /> <br /> == Licensing ==<br /> {{subst:nld}}<br /> == Source: ==</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Sequence&diff=112636 2019-11-17T12:51:03Z

<p>Keno: /* Result */</p> <hr /> <div>Let's get started with python and ffmpeg<br /> <br /> # Pick and download a video with a lot of edits. New coverage is good.<br /> # use the PySceneDetect tool (link on main page) to detect the scenes. (You need to install Python)<br /> # use ffmpeg to extract all the scenes as individual clips &lt;code&gt;ffmpeg -i goldeneye.mp4 -ss 00:00:00.000 -t 00:00:03.754 -c copy part1.mp4&lt;/code&gt;<br /> # reattach the clips in a different order with ffmpeg &lt;code&gt;ffmpeg -i &quot;concat:part3.mp4|part1.mp4|part2.mp4&quot; -c copy output.mp4&lt;/code&gt;<br /> <br /> Bonus learn some python to further automate the process<br /> <br /> == Keno ==<br /> <br /> === Code ===<br /> * [https://github.com/kenokenobingo/detective GitHub: Detective]<br /> <br /> === Result ===<br /> * [[File:mDoinap.mp4]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Sequence&diff=112633 2019-11-17T12:33:56Z

<p>Keno: /* Keno */</p> <hr /> <div>Let's get started with python and ffmpeg<br /> <br /> # Pick and download a video with a lot of edits. New coverage is good.<br /> # use the PySceneDetect tool (link on main page) to detect the scenes. (You need to install Python)<br /> # use ffmpeg to extract all the scenes as individual clips &lt;code&gt;ffmpeg -i goldeneye.mp4 -ss 00:00:00.000 -t 00:00:03.754 -c copy part1.mp4&lt;/code&gt;<br /> # reattach the clips in a different order with ffmpeg &lt;code&gt;ffmpeg -i &quot;concat:part3.mp4|part1.mp4|part2.mp4&quot; -c copy output.mp4&lt;/code&gt;<br /> <br /> Bonus learn some python to further automate the process<br /> <br /> == Keno ==<br /> <br /> === Code ===<br /> * [https://github.com/kenokenobingo/detective GitHub: Detective]<br /> <br /> === Result ===<br /> * [[File:lIognoirBsu_artseds.mp4]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut&diff=112631 2019-11-15T13:02:34Z

<p>Keno: /* Software */</p> <hr /> <div>''Lecturer:'' [[GMU:Max Neupert|Max Neupert]]&lt;br&gt;<br /> ''Credits:'' 6 [[ECTS]], 4 [[SWS]]&lt;br&gt;<br /> ''Date:'' Mondays, 09:15-12:30&lt;br&gt;<br /> ''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Raum 204]]&lt;br&gt;<br /> ''First meeting:'' Monday, 14th of October 09:15-12:30&lt;br&gt;<br /> Course language is English<br /> <br /> ==Procedural Cut: Algorithmic Micro-editing==<br /> Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, [[wikipedia:Microhouse|microhouse]] is a subgenre of house which employs this technique. [[wikipedia:Akufen|Akufen]]'s ''Deck the House'' from 2002 may serve as an example. In the context of experimental film, [[wikipedia:Martin Arnold|Martin Arnold]] compiled his 1989 montage “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. [[wikipedia:Steina und Woody Vasulka|Steina Vasulka]], [[wikipedia:Kurt Hentschlager#Granular-Synthesis|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. <br /> <br /> 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 [[wikipedia:Supercut|supercuts]]: compilations of short shots of the same action, or [[wikipedia:YouTube Poop|YouTube Poop]] mashups of videos with a comical and at times immature humour: <br /> <br /> 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.<br /> <br /> In the class ''Procedural Cut: Algorithmic Micro-editing'' we will learn to let algorithms cut and edit.<br /> <br /> This class builds upon two previous classes: [[GMU:Breaking the Timeline]] and [[GMU:Bits, Beats &amp; Pieces]].<br /> No previous knowledge is required.<br /> <br /> ==Syllabus==<br /> # 2019-10-21 [[/Early Montages and Flicker/]]<br /> # 2019-10-28 [[/Supercuts/]]<br /> # 2019-11-04 Lecture Joachim Goßmann<br /> # 2019-11-11 <br /> <br /> ==Assignments==<br /> # [[/Assignment Supercut/]]<br /> # [[/Assignment Sequence/]]<br /> <br /> ==Workshop files==<br /> * [[Audiovideo]]<br /> <br /> == Links ==<br /> * [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]<br /> * [[wikipedia:Edit decision list]] EDL<br /> * [[wikipedia:Regular expression]]<br /> <br /> == Software ==<br /> * https://shotcut.org Non-Linear Video Editor<br /> * https://code.visualstudio.com Microsoft Visual Studio Code<br /> * http://www.aegisub.org Subtitle Editor<br /> * https://www.videolan.org Media Player (helps you downloading YouTube videos)<br /> * https://downsub.com Web service to get the subtitles from a YouTube video<br /> * https://www.praxislive.org Praxis Live<br /> * https://pyscenedetect.readthedocs.io PySceneDetect can autonatically detect scene changes in video and segment footage into clips<br /> * https://ffmpeg.org ffmpeg<br /> * http://www.gpac.io GPAC<br /> * [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection]<br /> <br /> ==See also==<br /> * [[Open Frameworks]]<br /> * [[Processing]]<br /> * [[Pure Data - Getting started]]<br /> <br /> <br /> [[Category:Max Neupert]]<br /> [[Category:WS19]]<br /> [[Category:Fachmodul]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Sequence&diff=112627 2019-11-14T20:20:29Z

<p>Keno: /* Code */</p> <hr /> <div>Let's get started with python and ffmpeg<br /> <br /> # Pick and download a video with a lot of edits. New coverage is good.<br /> # use the PySceneDetect tool (link on main page) to detect the scenes. (You need to install Python)<br /> # use ffmpeg to extract all the scenes as individual clips &lt;code&gt;ffmpeg -i goldeneye.mp4 -ss 00:00:00.000 -t 00:00:03.754 -c copy part1.mp4&lt;/code&gt;<br /> # reattach the clips in a different order with ffmpeg &lt;code&gt;ffmpeg -i &quot;concat:part3.mp4|part1.mp4|part2.mp4&quot; -c copy output.mp4&lt;/code&gt;<br /> <br /> Bonus learn some python to further automate the process<br /> <br /> == Keno ==<br /> <br /> === Code ===<br /> * [https://github.com/kenokenobingo/detective GitHub: Detective]<br /> <br /> === Result ===</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Sequence&diff=112626 2019-11-14T20:20:07Z

<p>Keno: </p> <hr /> <div>Let's get started with python and ffmpeg<br /> <br /> # Pick and download a video with a lot of edits. New coverage is good.<br /> # use the PySceneDetect tool (link on main page) to detect the scenes. (You need to install Python)<br /> # use ffmpeg to extract all the scenes as individual clips &lt;code&gt;ffmpeg -i goldeneye.mp4 -ss 00:00:00.000 -t 00:00:03.754 -c copy part1.mp4&lt;/code&gt;<br /> # reattach the clips in a different order with ffmpeg &lt;code&gt;ffmpeg -i &quot;concat:part3.mp4|part1.mp4|part2.mp4&quot; -c copy output.mp4&lt;/code&gt;<br /> <br /> Bonus learn some python to further automate the process<br /> <br /> == Keno ==<br /> <br /> === Code ===<br /> * [https://github.com/kenokenobingo/detective Git repo: Detective]<br /> <br /> === Result ===</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Supercut&diff=112531 2019-11-10T11:04:41Z

<p>Keno: Added file</p> <hr /> <div># Look into the supercut genre, pick up to three of your favourites and link to them on the assignment page.<br /> # Find a video you would like to work with. It needs subtitles, the automatic translations from youtube work. Use downsub.com to download them.<br /> # If you need to fix some of the subtitle text or timings or want to add a subtitle yourself use Aegisub<br /> # open the .srt subtitle file in Visual Studio Code<br /> # Open shotcut and make a couple of dummy edits to the video file. Close the document.<br /> # open the shotcut .mlt document in Visual Studio Code.<br /> # find the playlist section in the xml document, it should look like this:<br /> &lt;playlist id=&quot;playlist0&quot;&gt;<br /> &lt;property name=&quot;shotcut:video&quot;&gt;1&lt;/property&gt;<br /> &lt;property name=&quot;shotcut:name&quot;&gt;V1&lt;/property&gt;<br /> &lt;entry producer=&quot;producer1&quot; in=&quot;00:09:13.209&quot; out=&quot;00:09:15.809&quot;/&gt;<br /> &lt;entry producer=&quot;producer2&quot; in=&quot;00:01:35.770&quot; out=&quot;00:01:40.500&quot;/&gt;<br /> &lt;entry producer=&quot;producer3&quot; in=&quot;00:38:06.600&quot; out=&quot;00:39:34.800&quot;/&gt;<br /> &lt;/playlist&gt;<br /> # now you can edit the movie by copying in- and outpoints from the .srt subtitle file. Beware: in the .srt the frame number is separated by a comma, in the .mlt it is a point.<br /> # save the file under a different name.<br /> # open in shotcut, export and upload the video to this page: <br /> <br /> <br /> <br /> <br /> <br /> <br /> == Keno ==<br /> === My top three supercuts ===<br /> <br /> * [https://www.youtube.com/watch?v=GK16L2bB4Fo Brexit Means Breakfast] ([https://www.youtube.com/watch?v=b-ZO2pQNtog What does Brexit mean?])<br /> * [https://www.youtube.com/watch?v=dn5Tattkj_E Every Owen Wilson Wow In Chronological Order (1996–2017)]<br /> * [https://www.youtube.com/watch?v=9NWhG2B4elw TrueInfrastructure HD 720p]<br /> <br /> === My own supercut ===<br /> <br /> * [[:File:ddr_supercut_small.mp4]] ([https://www.youtube.com/watch?v=1UHC8djETCI YouTube])<br /> <br /> == Name (Example) ==<br /> === My top three supercuts ===</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=File:Ddr_supercut_small.mp4&diff=112529 2019-11-10T11:03:28Z

<p>Keno: File uploaded with MsUpload</p> <hr /> <div>File uploaded with MsUpload</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Supercut&diff=112522 2019-11-10T10:33:52Z

<p>Keno: Added supercut</p> <hr /> <div># Look into the supercut genre, pick up to three of your favourites and link to them on the assignment page.<br /> # Find a video you would like to work with. It needs subtitles, the automatic translations from youtube work. Use downsub.com to download them.<br /> # If you need to fix some of the subtitle text or timings or want to add a subtitle yourself use Aegisub<br /> # open the .srt subtitle file in Visual Studio Code<br /> # Open shotcut and make a couple of dummy edits to the video file. Close the document.<br /> # open the shotcut .mlt document in Visual Studio Code.<br /> # find the playlist section in the xml document, it should look like this:<br /> &lt;playlist id=&quot;playlist0&quot;&gt;<br /> &lt;property name=&quot;shotcut:video&quot;&gt;1&lt;/property&gt;<br /> &lt;property name=&quot;shotcut:name&quot;&gt;V1&lt;/property&gt;<br /> &lt;entry producer=&quot;producer1&quot; in=&quot;00:09:13.209&quot; out=&quot;00:09:15.809&quot;/&gt;<br /> &lt;entry producer=&quot;producer2&quot; in=&quot;00:01:35.770&quot; out=&quot;00:01:40.500&quot;/&gt;<br /> &lt;entry producer=&quot;producer3&quot; in=&quot;00:38:06.600&quot; out=&quot;00:39:34.800&quot;/&gt;<br /> &lt;/playlist&gt;<br /> # now you can edit the movie by copying in- and outpoints from the .srt subtitle file. Beware: in the .srt the frame number is separated by a comma, in the .mlt it is a point.<br /> # save the file under a different name.<br /> # open in shotcut, export and upload the video to this page: <br /> <br /> <br /> <br /> <br /> <br /> <br /> == Keno ==<br /> === My top three supercuts ===<br /> <br /> * [https://www.youtube.com/watch?v=GK16L2bB4Fo Brexit Means Breakfast] ([https://www.youtube.com/watch?v=b-ZO2pQNtog What does Brexit mean?])<br /> * [https://www.youtube.com/watch?v=dn5Tattkj_E Every Owen Wilson Wow In Chronological Order (1996–2017)]<br /> * [https://www.youtube.com/watch?v=9NWhG2B4elw TrueInfrastructure HD 720p]<br /> <br /> === My own supercut ===<br /> <br /> * [https://www.youtube.com/watch?v=1UHC8djETCI In der DDR]<br /> <br /> == Name (Example) ==<br /> === My top three supercuts ===</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Supercut&diff=112514 2019-11-09T08:37:34Z

<p>Keno: /* My top three supercuts */</p> <hr /> <div>== Keno ==<br /> === My top three supercuts ===<br /> <br /> * [https://www.youtube.com/watch?v=GK16L2bB4Fo Brexit Means Breakfast] ([https://www.youtube.com/watch?v=b-ZO2pQNtog What does Brexit mean?])<br /> * [https://www.youtube.com/watch?v=dn5Tattkj_E Every Owen Wilson Wow In Chronological Order (1996–2017)]<br /> * [https://www.youtube.com/watch?v=9NWhG2B4elw TrueInfrastructure HD 720p]<br /> <br /> == Name (Example) ==<br /> === My top three supercuts ===</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Supercut&diff=112513 2019-11-09T08:36:32Z

<p>Keno: /* My top three supercuts */</p> <hr /> <div>== Keno ==<br /> === My top three supercuts ===<br /> <br /> * [https://www.youtube.com/watch?v=GK16L2bB4Fo Brexit Means Breakfast], ([https://www.youtube.com/watch?v=b-ZO2pQNtog What does Brexit mean?])<br /> * [https://www.youtube.com/watch?v=dn5Tattkj_E Every Owen Wilson Wow In Chronological Order (1996–2017)]<br /> * [https://www.youtube.com/watch?v=9NWhG2B4elw TrueInfrastructure HD 720p]<br /> <br /> == Name (Example) ==<br /> === My top three supercuts ===</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Procedural_Cut/Assignment_Supercut&diff=112512 2019-11-09T08:36:18Z

<p>Keno: Keno: Brexit Mean Brexit</p> <hr /> <div>== Keno ==<br /> === My top three supercuts ===<br /> <br /> * [https://www.youtube.com/watch?v=GK16L2bB4Fo Brexit Means Breakfast], ([https://www.youtube.com/watch?v=b-ZO2pQNtog What does Brexit mean?])<br /> * [https://www.youtube.com/watch?v=9NWhG2B4elw TrueInfrastructure HD 720p]<br /> * [https://www.youtube.com/watch?v=dn5Tattkj_E Every Owen Wilson Wow In Chronological Order (1996–2017)]<br /> <br /> == Name (Example) ==<br /> === My top three supercuts ===</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:MfA_Masterproject_Soil%E2%80%93Humus%E2%80%93Earth/Keno_Westhoff&diff=112473 2019-11-03T08:41:35Z

<p>Keno: Blanked the page</p> <hr /> <div></div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:MfA_Masterproject_Soil%E2%80%93Humus%E2%80%93Earth&diff=112472 2019-11-03T08:39:20Z

<p>Keno: /* Students */</p> <hr /> <div><br /> ==GMU:MfA Project Module SOIL HUMUS EARTH==<br /> [[:Category:Projektmodul|Projektmodul]]&lt;br&gt;<br /> ''Professor:'' [[Ursula Damm]] + Dr. Julian Chollet, Mindaugas Gapsevicius&lt;br/&gt;<br /> ''Credits:'' 18 [[ECTS]], 16 [[SWS]]&lt;br/&gt;<br /> ''Date:'' Tuesdays, 09:15 - 12:30 h&lt;br/&gt;<br /> ''Place:'' [[Marienstraße 7b]], Raum 204&lt;br/&gt;<br /> ''First Meeting:'' 15th of October 2019&lt;br/&gt;<br /> ''Class language:'' English<br /> <br /> ==Class Description==<br /> <br /> This module is about the foundations of our day-to-day life. Amongst others, soil is a very basic condition of our urban existance. We walk on it, it nourrishes us, it guides rain to the ground water. But the way we planned the surface of our cities and dwellings is often neglecting our primordial needs as creatures. This is why we need to reconsider our design guidelines and our aesthetics while planning our habitat. <br /> In this module we are dealing with soil, but also with humus and its production and the human impact on the natural resources of our survival. &lt;br/&gt;<br /> <br /> MfA MKG, MAD, Media Architecture, FK, VK, Kunsterziehung&lt;br/&gt;<br /> <br /> ==Prerequisites==<br /> <br /> Participation at Fachmodules in Bioart and/or Electronics<br /> ==Evaluation==<br /> <br /> Continuous presence and participation, self-motivation, self-driven artistic practice<br /> <br /> ==Literature==<br /> * Yvonne Volkart: From Trash to Waste [[File:YVolkart_From Trash_to_Waste.pdf ]]<br /> * [http://instrumentinventors.org/research/reading-room-15-ecologies-of-existence-part-1/ Ecologies of Existence mit Yvonne Volkart]<br /> * Alexandra Toland: Field to Palette ISBN 978-1-138-58509-6<br /> * Marcus Maeder Kunst Wissenschaft Natur ISBN 978-3-8394-3692-9<br /> * Peter Fend: Ocean Earth ISBN 978-3927789722<br /> * Mierle Laderman Ukeles: Maintnance Art ISBN 978-3791355382<br /> * Measuring America ISBN 978-1400130900<br /> * Prinzessinengärten ISBN 978-3832194369<br /> * [https://smartsite.ucdavis.edu/access/content/group/d7cd5927-cc77-43da-857b-3abebfc3d22f/30349316-Jakob-Von-Uexkull-A-Stroll-Through-the-Worlds-of-Animals-and-Men.pdf Jakob von Uexkull: A Stroll Through the Worlds of Animals and Men]<br /> * Margulis, Asikainen, Krumbein: Chimeras and Consciousness - Evolution of the Sensory Self ISBN 978-0262515832<br /> * Hugh Raffles: Insectopedia ISBN 978-1400096961 recommended chapters: Generosity (the Happy Times), Heads and How to Use Them, The Sound of Global Warming<br /> * [http://www.bruno-latour.fr/sites/default/files/downloads/53-PANDORA-TOPOFIL-pdf.pdf/ Bruno Latour, ''Pandora's Hope'', 1999]<br /> *[http://www.bruno-latour.fr/node/750/ Bruno Latour, 'Giving Depth to the Surface – An Exercise in the Gaia-graphy of Critical Zones', 2017]<br /> *[http://www.bruno-latour.fr/sites/default/files/150-CORNELL-2016-.pdf Bruno Latour, 'Is Geo-logy the New Umbrella for All the Sciences? Hints for a Neo-Humboldtian University', 2016]<br /> *[https://profilebooks.com/being-a-beast.html Charles Foster, ''Being a Beast'', 2016] (fun podcast interview with author [https://www.thisamericanlife.org/596/becoming-a-badger here])<br /> *[https://www.e-flux.com/journal/75/67125/tentacular-thinking-anthropocene-capitalocene-chthulucene/ Donna Haraway, 'Tentacular Thinking: Anthropocene, Capitalocene, Chthulucene', 2016]<br /> *[https://mitpress.mit.edu/books/against-anthropocene TJ Demos, ''Against the Anthropocene'', 2017]<br /> *[https://www.hkw.de/en/media/publikationen/2014_publikationen/14_the_whole_earth.php ''The Whole Earth. California and the Disappearance of the Outside'', 2013]<br /> <br /> ==Media==<br /> * [http://www.thegardenmovie.com The Garden]<br /> <br /> == Artists ==<br /> * [http://www.loisweinberger.net/ Lois Weinberger]<br /> * [http://www.agnesdenesstudio.com/ Agnes Denes]<br /> * [https://monoskop.org/Mierle_Laderman_Ukeles Mierle Laderman Ukeles]<br /> * [http://smitesmits.com/ Rasa Smite &amp; Raitis Smits]<br /> * [http://boredomresearch.net/wp/ Boredomresearch]<br /> * [http://www.publicamateur.org/ Claire Pentecost]<br /> * Robert Smithson <br /> * Andy Goldsworthy<br /> * [http://inquest.us/ Peter Fend]<br /> * [https://ellieirons.com Elli Irons]<br /> * Anya Gallacio<br /> * [https://theharrisonstudio.net/ The Harrison Studio]<br /> * [http://www.1010.co.uk/org/ Martin Howse]<br /> * [https://www.gsa.gov/cdnstatic/Matthew_Richie_%283%29.pdf Matthew Ritchie]<br /> * [http://www.xandravandereijk.nl/portfolio/retreat/ Xandra van der Eijk]<br /> * [http://www.theunkarelse.net Theun Karelse]<br /> <br /> == Syllabus ==<br /> <br /> == Students ==<br /> *[[/Niloofar Ghanavati]]<br /> *[[Elizabeth McTernan]]<br /> <br /> [[Category:WS19]] [[Category:Ursula Damm]] [[Category:Projektmodul]]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:Humus-Micro-Habitats&diff=112471 2019-11-03T08:38:09Z

<p>Keno: /* Students */</p> <hr /> <div>[[File:HUMUS sapiens Vilnius5.jpg|400px|thumb|left]]<br /> <br /> &lt;b&gt;Lecturer:&lt;/b&gt; [[Julian Chollet]]&lt;br&gt;<br /> <br /> &lt;b&gt;Credits:&lt;/b&gt; 6 [[ECTS]], 4 [[SWS]]&lt;br&gt;<br /> <br /> &lt;b&gt;Dates:&lt;/b&gt; <br /> 04.11. – 08.11.2019 (10:00 – 17:00)&lt;br&gt;<br /> ''Every day from 10-12 'open science breakfast' - OPEN for EVERYONE (Room 204)''<br /> &lt;b&gt;Venue:&lt;/b&gt; [[Marienstraße 7b]], [[GMU:DIY BioLab|DIY BioLab]] (Room 202)&lt;br&gt;<br /> <br /> <br /> <br /> &lt;br style=&quot;clear: both&quot;&gt;<br /> <br /> <br /> ===THIS IS THE WIKI FOR THE COURSE IN WS 2019===<br /> <br /> ==open science breakfast==<br /> bring your friends, coffee, food,… who will bring hummus? <br /> <br /> ==Syllabus==<br /> Our air, soil and water as well as all plants and animals contain complex ecosystems. <br /> <br /> This course will introduce you to various creatures colonizing the ground beneath our feet and give you the opportunity to experience methodologies and experimental strategies that are used in the natural sciences. While working in the DIY BioLab (Chair of Media Environments) you will learn how to think like a microbiologist and what it means to do scientific research. Educational objectives include literature research, experiment design, result documentation, discussion and scientific writing. <br /> <br /> The module will be structured in a flexible way, tailored to the needs of the participants and includes lectures as well as practical work in the laboratory. Attendance during the 5 days of the course, as well as the delivery of detailed project documentation (paper, artwork, etc.) until the end of the semester is required. <br /> <br /> The 5 day intensive course is integrated into the wider concept of the project module [[GMU:MfA_Masterproject_Soil–Humus–Earth|Soil-Humus-Earth]] (Prof. Ursula Damm) as well as the module [[GMU:Raised_Beds_and_Pets|Raised Beds and Pets]] (Mindaugas Gapsevicius).<br /> <br /> ==Students==<br /> *[[GMU:Humus-Micro-Habitats/Maggy_Hamel-Metsos|Maggy Hamel-Metsos]]<br /> *[[GMU:Humus-Micro-Habitats/Maximilian_Goetz|Maximilian Goetz]]<br /> *[[GMU:Humus-Micro-Habitats/Rebecca_Hilbel|Rebecca Hilbel]]<br /> *[[GMU:Humus-Micro-Habitats/IChen_Lai|I Chen Lai]]<br /> *[[GMU:Humus-Micro-Habitats/Elizabeth_McTernan|Elizabeth McTernan]]<br /> * &lt;s&gt;Keno Westhoff&lt;/s&gt;<br /> *[[GMU:Humus-Micro-Habitats/Benazir_Basauri_Torres |Benazir Basauri Torres]]<br /> *[[GMU:Humus-Micro-Habitats/Why_Elliy|Why Elliy]]<br /> *[[GMU:Humus-Micro-Habitats/Funda_Zeynep_Ayguler|Funda Zeynep Ayguler]]<br /> <br /> ==Guest lecturers==<br /> <br /> &lt;b&gt;Mindaugas Gapševičius&lt;/b&gt; will support us on 04. and 05.11. He will offer an introduction to the world of nematodes. In addition, the students learn the basic cultivation techniques and the handling of C. elegans in the laboratory.<br /> <br /> &lt;b&gt;Stefan Doepner&lt;/b&gt; will support us on 6 and 7.11. as a guest lecturer. He is involved in the following projects, among others:&lt;br&gt;<br /> http://www.f18institut.org/&lt;br&gt;<br /> http://www.obrat.org/about&lt;br&gt;<br /> http://www.cirkulacija2.org/?page_id=247&lt;br&gt;<br /> <br /> ==Projects==<br /> * ...<br /> <br /> <br /> [[Category:WS19]]<br /> <br /> [[Category:Werkmodul]]<br /> <br /> [[Category:Fachmodul]]<br /> <br /> [[Category:Julian Chollet]]<br /> <br /> ==Questions==<br /> ===What is life? / What is humus?===<br /> <br /> ===Which different types of organisms live in the soil?===<br /> <br /> ===How is soil life interacting / what is the soil food web?===<br /> <br /> ===Which methods are suitable to learn more about soil microbes?===<br /> <br /> <br /> <br /> <br /> &lt;br&gt;<br /> <br /> ==Basic concepts==<br /> <br /> ===Humus===<br /> &lt;b&gt;&quot;It is difficult to define humus precisely because it is a very complex substance which is not fully understood.&quot; &lt;/b&gt; &lt;br&gt;<br /> <br /> In soil science, humus (derived in 1790–1800 from the Latin humus for earth, ground[1]) denominates the fraction of soil organic matter that is amorphous and without the &quot;cellular cake structure characteristic of plants, micro-organisms or animals&quot;.[2] Humus significantly affects the bulk density of soil and contributes to its retention of moisture and nutrients.<br /> <br /> In agriculture, &quot;humus&quot; sometimes also is used to describe mature or natural compost extracted from a woodland or other spontaneous source for use as a soil conditioner.[3] It is also used to describe a topsoil horizon that contains organic matter (humus type,[4] humus form,[5] humus profile).[6]<br /> <br /> Humus is the dark organic matter that forms in soil when dead plant and animal matter decays. Humus has many nutrients that improve the health of soil, nitrogen being the most important. The ratio of carbon to nitrogen (C:N) of humus is 10:1. &lt;br&gt;<br /> <br /> https://en.wikipedia.org/wiki/Humus<br /> <br /> ===Life===<br /> &lt;b&gt;&quot;There are over a 100 definitions for 'life' and all are wrong&quot; &lt;/b&gt;&lt;br&gt;<br /> http://www.bbc.com/earth/story/20170101-there-are-over-100-definitions-for-life-and-all-are-wrong<br /> <br /> https://en.wikipedia.org/wiki/Life#Definitions &lt;br&gt;<br /> Since there is no unequivocal definition of life, most current definitions in biology are descriptive. Life is considered a characteristic of something that preserves, furthers or reinforces its existence in the given environment. This characteristic exhibits all or most of the following traits:<br /> Homeostasis <br /> Organization<br /> Metabolism<br /> Growth<br /> Adaptation<br /> Response to stimuli<br /> Reproduction<br /> <br /> ===Organism===<br /> In biology, an organism (from Greek: ὀργανισμός, organismos) is any individual entity that exhibits the properties of life. It is a synonym for &quot;life form&quot;.&lt;br&gt;<br /> https://en.wikipedia.org/wiki/Organism<br /> <br /> ===Microorganism===<br /> Living beings that are too small to be seen with the (human) eye.<br /> <br /> https://en.wikipedia.org/wiki/Microorganism &lt;br&gt;<br /> https://en.wikipedia.org/wiki/Human_interactions_with_microbes<br /> <br /> The possible existence of unseen microbial life was suspected from ancient times, such as in Jain scriptures from 6th century BC India and the 1st century BC book On Agriculture by Marcus Terentius Varro. Microbiology, the scientific study of microorganisms, began with their observation under the microscope in the 1670s by Antonie van Leeuwenhoek.<br /> <br /> ===Soil microorganisms===<br /> &quot;Microbes can make nutrients and minerals in the soil available to plants, produce hormones that spur growth, stimulate the plant immune system and trigger or dampen stress responses. In general a more diverse soil microbiome results in fewer plant diseases and higher yield.&quot; &lt;br&gt;<br /> https://en.wikipedia.org/wiki/Soil_microbiology<br /> <br /> ==Resources==<br /> <br /> ==Related Projects from the DIY Biolab @Bauhaus==<br /> *[[GMU:Board Games for Humans and Nonhumans/Maike Effenberg|Bio.match]] <br /> *[[GMU:Bioelectronics, aesthetics and other interesting things/PhyChip synthesiser|PhyChip synthesiser]]<br /> *[[GMU:Habitats_SS18]]<br /> *[[GMU:BioArt_WS15/Physarum_polycephalum_and_unconventional_computing]]<br /> <br /> please add projects!! :)<br /> <br /> ==PDFs==<br /> * https://exploringtheinvisible.files.wordpress.com/2013/11/manual2013.pdf<br /> <br /> * [[:File:Guide_to_scientific_writing.pdf]] &lt;br&gt;<br /> * [[:File:Physarum Polycephalum - mapping chemical inputs.pdf]]&lt;br&gt;<br /> * [[:File:Quorum sensing and biofilms.pdf]]&lt;br&gt;<br /> <br /> ==Links==<br /> * [[GMU:DIY BioLab|DIY BioLab]]<br /> * [https://mikroBIOMIK.org/en mikroBIOMIK]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:MfA_Masterproject_Soil%E2%80%93Humus%E2%80%93Earth/Keno_Westhoff&diff=111931 2019-10-14T14:11:07Z

<p>Keno: /* References */</p> <hr /> <div>Topic: Agriculture.<br /> <br /> == Literature ==<br /> * Gershuny, Grace; Smillie, Joe: The Soul of Soil. A Soil-Building Guide for Master Gardener and Farmers.<br /> * [http://www.cicadabooks.co.uk/adult-books#/raising-a-forest/ Herem, Thibaud: Raising a Forest.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-the-ecology-of-freedom Bookchin, Murray: The Ecology of Freedom.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-radical-agriculture Bookchin, Murray: Radical Agriculture.]<br /> * [http://unevenearth.org/2019/10/bookchin_doing_the_impossible/ Bookchin, Murray: Utopia, not futurism: Why doing the impossible is the most rational thing we can do.]<br /> * Tobey, Peter: Pirating Plants. The Gardener’s Guide to Getting Something for Nothing.<br /> <br /> == References ==<br /> * [https://twitter.com/buildsoil @buildsoil]<br /> * [https://matrix.to/#/!cRMSQoEwULwCtTYPsg:bau-ha.us?via=bau-ha.us&amp;via=matrix.org&amp;via=im.kabi.tk #horticulture:bau-ha.us]<br /> * [https://www.ndr.de/ratgeber/garten/Duenger-mit-einem-Bokashi-Eimer-herstellen,bokashi100.html Bokashi]<br /> * [https://en.wikipedia.org/wiki/Effective_microorganism Effective microorganism]<br /> * [http://fallingfruit.org/ Falling Fruit]<br /> * [https://en.wikipedia.org/wiki/Ikebana Ikebana]<br /> * GitHub: [https://github.com/beaorn/awesome-agriculture beaorn/awesome-agriculture]<br /> * GitHub: [https://github.com/jzarca01/awesome-food jzarca01/awesome-food]<br /> * [https://openhousebcn.wordpress.com/2012/05/30/openhouse-barcelona-japan-a-magical-land-art-architecture-the-drawings-and-fantasies-of-junya-ishigami/ Junya Ishigami]<br /> * [https://www.youtube.com/watch?v=YAxm0NBxhAo Löwenzahn: Der Unkrautgärtner]<br /> * [https://opensourceseeds.org/ OpenSourceSeeds]<br /> * [https://www.arte.tv/de/videos/063230-004-A/permakultur-nachhaltig-produzieren/ Permaculture]<br /> * [https://soilandhealth.org Soil and Health Library]<br /> <br /> == About Keno ==<br /> * [https://kenokeno.bingo/ Portfolio]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:MfA_Masterproject_Soil%E2%80%93Humus%E2%80%93Earth/Keno_Westhoff&diff=111926 2019-10-14T09:48:56Z

<p>Keno: /* References */</p> <hr /> <div>Topic: Agriculture.<br /> <br /> == Literature ==<br /> * Gershuny, Grace; Smillie, Joe: The Soul of Soil. A Soil-Building Guide for Master Gardener and Farmers.<br /> * [http://www.cicadabooks.co.uk/adult-books#/raising-a-forest/ Herem, Thibaud: Raising a Forest.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-the-ecology-of-freedom Bookchin, Murray: The Ecology of Freedom.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-radical-agriculture Bookchin, Murray: Radical Agriculture.]<br /> * [http://unevenearth.org/2019/10/bookchin_doing_the_impossible/ Bookchin, Murray: Utopia, not futurism: Why doing the impossible is the most rational thing we can do.]<br /> * Tobey, Peter: Pirating Plants. The Gardener’s Guide to Getting Something for Nothing.<br /> <br /> == References ==<br /> * [https://twitter.com/buildsoil @buildsoil]<br /> * [https://matrix.to/#/!cRMSQoEwULwCtTYPsg:bau-ha.us?via=bau-ha.us&amp;via=matrix.org&amp;via=im.kabi.tk #horticulture:bau-ha.us]<br /> * [https://www.ndr.de/ratgeber/garten/Duenger-mit-einem-Bokashi-Eimer-herstellen,bokashi100.html Bokashi]<br /> * [https://en.wikipedia.org/wiki/Effective_microorganism Effective microorganism]<br /> * [http://fallingfruit.org/ Falling Fruit]<br /> * [https://en.wikipedia.org/wiki/Ikebana Ikebana]<br /> * GitHub: [https://github.com/beaorn/awesome-agriculture beaorn/awesome-agriculture]<br /> * GitHub: [https://github.com/jzarca01/awesome-food jzarca01/awesome-food]<br /> * [https://openhousebcn.wordpress.com/2012/05/30/openhouse-barcelona-japan-a-magical-land-art-architecture-the-drawings-and-fantasies-of-junya-ishigami/ Junya Ishigami]<br /> * [https://www.youtube.com/watch?v=YAxm0NBxhAo Löwenzahn: Der Unkrautgärtner]<br /> * [https://opensourceseeds.org/ OpenSourceSeeds]<br /> * [https://www.arte.tv/de/videos/063230-004-A/permakultur-nachhaltig-produzieren/ Permaculture]<br /> <br /> == About Keno ==<br /> * [https://kenokeno.bingo/ Portfolio]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:MfA_Masterproject_Soil%E2%80%93Humus%E2%80%93Earth/Keno_Westhoff&diff=111864 2019-10-12T15:15:44Z

<p>Keno: /* References */</p> <hr /> <div>Topic: Agriculture.<br /> <br /> == Literature ==<br /> * Gershuny, Grace; Smillie, Joe: The Soul of Soil. A Soil-Building Guide for Master Gardener and Farmers.<br /> * [http://www.cicadabooks.co.uk/adult-books#/raising-a-forest/ Herem, Thibaud: Raising a Forest.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-the-ecology-of-freedom Bookchin, Murray: The Ecology of Freedom.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-radical-agriculture Bookchin, Murray: Radical Agriculture.]<br /> * [http://unevenearth.org/2019/10/bookchin_doing_the_impossible/ Bookchin, Murray: Utopia, not futurism: Why doing the impossible is the most rational thing we can do.]<br /> * Tobey, Peter: Pirating Plants. The Gardener’s Guide to Getting Something for Nothing.<br /> <br /> == References ==<br /> * [https://twitter.com/buildsoil @buildsoil]<br /> * [https://www.ndr.de/ratgeber/garten/Duenger-mit-einem-Bokashi-Eimer-herstellen,bokashi100.html Bokashi]<br /> * [https://en.wikipedia.org/wiki/Effective_microorganism Effective microorganism]<br /> * [http://fallingfruit.org/ Falling Fruit]<br /> * [https://en.wikipedia.org/wiki/Ikebana Ikebana]<br /> * GitHub: [https://github.com/beaorn/awesome-agriculture beaorn/awesome-agriculture]<br /> * GitHub: [https://github.com/jzarca01/awesome-food jzarca01/awesome-food]<br /> * [https://openhousebcn.wordpress.com/2012/05/30/openhouse-barcelona-japan-a-magical-land-art-architecture-the-drawings-and-fantasies-of-junya-ishigami/ Junya Ishigami]<br /> * [https://www.youtube.com/watch?v=YAxm0NBxhAo Löwenzahn: Der Unkrautgärtner]<br /> * [https://opensourceseeds.org/ OpenSourceSeeds]<br /> * [https://www.arte.tv/de/videos/063230-004-A/permakultur-nachhaltig-produzieren/ Permaculture]<br /> <br /> == About Keno ==<br /> * [https://kenokeno.bingo/ Portfolio]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:MfA_Masterproject_Soil%E2%80%93Humus%E2%80%93Earth/Keno_Westhoff&diff=111862 2019-10-11T15:11:30Z

<p>Keno: /* References */</p> <hr /> <div>Topic: Agriculture.<br /> <br /> == Literature ==<br /> * Gershuny, Grace; Smillie, Joe: The Soul of Soil. A Soil-Building Guide for Master Gardener and Farmers.<br /> * [http://www.cicadabooks.co.uk/adult-books#/raising-a-forest/ Herem, Thibaud: Raising a Forest.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-the-ecology-of-freedom Bookchin, Murray: The Ecology of Freedom.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-radical-agriculture Bookchin, Murray: Radical Agriculture.]<br /> * [http://unevenearth.org/2019/10/bookchin_doing_the_impossible/ Bookchin, Murray: Utopia, not futurism: Why doing the impossible is the most rational thing we can do.]<br /> * Tobey, Peter: Pirating Plants. The Gardener’s Guide to Getting Something for Nothing.<br /> <br /> == References ==<br /> * [https://twitter.com/buildsoil @buildsoil]<br /> * [https://www.ndr.de/ratgeber/garten/Duenger-mit-einem-Bokashi-Eimer-herstellen,bokashi100.html Bokashi]<br /> * [https://en.wikipedia.org/wiki/Effective_microorganism Effective microorganism]<br /> * [http://fallingfruit.org/ Falling Fruit]<br /> * [https://en.wikipedia.org/wiki/Ikebana Ikebana]<br /> * GitHub: [https://github.com/beaorn/awesome-agriculture beaorn/awesome-agriculture]<br /> * GitHub: [https://github.com/jzarca01/awesome-food jzarca01/awesome-food]<br /> * [https://openhousebcn.wordpress.com/2012/05/30/openhouse-barcelona-japan-a-magical-land-art-architecture-the-drawings-and-fantasies-of-junya-ishigami/ Junya Ishigami]<br /> * [https://opensourceseeds.org/ OpenSourceSeeds]<br /> * [https://www.arte.tv/de/videos/063230-004-A/permakultur-nachhaltig-produzieren/ Permaculture]<br /> <br /> == About Keno ==<br /> * [https://kenokeno.bingo/ Portfolio]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:MfA_Masterproject_Soil%E2%80%93Humus%E2%80%93Earth/Keno_Westhoff&diff=111861 2019-10-11T12:27:46Z

<p>Keno: /* Literature */</p> <hr /> <div>Topic: Agriculture.<br /> <br /> == Literature ==<br /> * Gershuny, Grace; Smillie, Joe: The Soul of Soil. A Soil-Building Guide for Master Gardener and Farmers.<br /> * [http://www.cicadabooks.co.uk/adult-books#/raising-a-forest/ Herem, Thibaud: Raising a Forest.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-the-ecology-of-freedom Bookchin, Murray: The Ecology of Freedom.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-radical-agriculture Bookchin, Murray: Radical Agriculture.]<br /> * [http://unevenearth.org/2019/10/bookchin_doing_the_impossible/ Bookchin, Murray: Utopia, not futurism: Why doing the impossible is the most rational thing we can do.]<br /> * Tobey, Peter: Pirating Plants. The Gardener’s Guide to Getting Something for Nothing.<br /> <br /> == References ==<br /> * [https://twitter.com/buildsoil @buildsoil]<br /> * [https://www.ndr.de/ratgeber/garten/Duenger-mit-einem-Bokashi-Eimer-herstellen,bokashi100.html Bokashi]<br /> * [https://en.wikipedia.org/wiki/Effective_microorganism Effective microorganism]<br /> * [http://fallingfruit.org/ Falling Fruit]<br /> * [https://en.wikipedia.org/wiki/Ikebana Ikebana]<br /> * GitHub: [https://github.com/beaorn/awesome-agriculture beaorn/awesome-agriculture]<br /> * GitHub: [https://github.com/jzarca01/awesome-food jzarca01/awesome-food]<br /> * [https://openhousebcn.wordpress.com/2012/05/30/openhouse-barcelona-japan-a-magical-land-art-architecture-the-drawings-and-fantasies-of-junya-ishigami/ Junya Ishigami]<br /> * [https://www.arte.tv/de/videos/063230-004-A/permakultur-nachhaltig-produzieren/ Permaculture]<br /> <br /> == About Keno ==<br /> * [https://kenokeno.bingo/ Portfolio]</div>

Keno https://www.uni-weimar.de/kunst-und-gestaltung/wiki/index.php?title=GMU:MfA_Masterproject_Soil%E2%80%93Humus%E2%80%93Earth/Keno_Westhoff&diff=111860 2019-10-11T11:51:07Z

<p>Keno: /* References */</p> <hr /> <div>Topic: Agriculture.<br /> <br /> == Literature ==<br /> * Gershuny, Grace; Smillie, Joe: The Soul of Soil. A Soil-Building Guide for Master Gardener and Farmers.<br /> * [http://www.cicadabooks.co.uk/adult-books#/raising-a-forest/ Herem, Thibaud: Raising a Forest.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-the-ecology-of-freedom Bookchin, Murray: The Ecology of Freedom.]<br /> * [https://theanarchistlibrary.org/library/murray-bookchin-radical-agriculture Bookchin, Murray: Radical Agriculture.]<br /> * Tobey, Peter: Pirating Plants. The Gardener’s Guide to Getting Something for Nothing.<br /> <br /> == References ==<br /> * [https://twitter.com/buildsoil @buildsoil]<br /> * [https://www.ndr.de/ratgeber/garten/Duenger-mit-einem-Bokashi-Eimer-herstellen,bokashi100.html Bokashi]<br /> * [https://en.wikipedia.org/wiki/Effective_microorganism Effective microorganism]<br /> * [http://fallingfruit.org/ Falling Fruit]<br /> * [https://en.wikipedia.org/wiki/Ikebana Ikebana]<br /> * GitHub: [https://github.com/beaorn/awesome-agriculture beaorn/awesome-agriculture]<br /> * GitHub: [https://github.com/jzarca01/awesome-food jzarca01/awesome-food]<br /> * [https://openhousebcn.wordpress.com/2012/05/30/openhouse-barcelona-japan-a-magical-land-art-architecture-the-drawings-and-fantasies-of-junya-ishigami/ Junya Ishigami]<br /> * [https://www.arte.tv/de/videos/063230-004-A/permakultur-nachhaltig-produzieren/ Permaculture]<br /> <br /> == About Keno ==<br /> * [https://kenokeno.bingo/ Portfolio]</div>

Keno