Medien Wiki - User contributions [en]

GMU:Critical XR Lab/Lena Taßler

2022-10-30T23:54:09Z

Lena T:

Lena Taßler (Media Art and Design)
----
[[File:TitelHiddenConnection.gif|border|caption]]
----
====== Jede Sekunde werden Massen an Daten ausgetauscht. Ein Informationsnetz, unter Menschen und Maschinen. Pulsierend. Unentwegt. Kommunikation über Kontinente hinweg. Im Kontrast; der Wald. Ruhe. Harmonie. Vor unseren Augen verborgen pulsiert auch hier ein Netz aus Informationen. Bäume kommunizieren über Wurzeln, Pilzgeflechte und Duftstoffe. The Wood Wide Web überspannt ganze Wälder. ======
Every moment masses of data get exchanged. A mesh of informations, through humans and machines. Pulsating. Non-stop. Communication passing over continents in seconds. In contrast; the woods. Silence. Harmony. But hidden from our eyes there is also a busy network. Trees are communicating via roots, mushrooms and fragrances. The Wood Wide Web can connect hole forests.

With this project i wanted to visualize this hidden connection, to maybe also reflect our connection to nature. ''(For more information: Terra X Beitrag: https://www.zdf.de/dokumentation/terra-x/plus-schule-wie-baeume-kommunizieren-100.html)'' The idea came while experimenting with different techniques in the course. Before i haven't had any experiences with VR. I was surprised how surreal and at the same time natural it feels to look through the headset. 360° videos were kind of intensifying this feeling. As well as stopmotion-animation, because of the combination of magical moving of real objects.

----

[[File:Faecher_wald_1.gif|border|caption]]

Here is a test i animated with hand fans in the forest, which should act as lungs of the plants. Or just butterfly-like things. It’s out of about 30 photos, which already took quite some time and what is sadly very visible by looking at the moving shadows.

[[File:webBTS.gif|border|caption]]

----

[[File:Faecher-wald-test.gif|border|caption]]

Another one happened after sunset. No shadows, but huge change of light intensity.
Experimenting with lightpainting solved this problem so that the video can be played back and forth on repeat nearly unnoticed. It’s made by walking through the dark forest with a flashlight, while the ''Ricoh Theta V 360 camera'' took a photo with an exposure time of three seconds every four seconds.

----

[[File:lightpaintingwald360.gif|border|caption]]

First here the raw version straight out of the camera, consisting of 300 pictures. Later i edited the video with ''DaVinci Resolve'' to look even more surreal. For the sound i was running around with a VR-headset, following the light line with a controller. In ''Unity'' the movement got translated to sound in space.

{{#ev:youtube|xj7E0xaeKXw|left|}}
======''POV of VR-Headset''======

File:WebBTS.gif

2022-10-30T23:33:51Z

Lena T:

== Summary ==

== Copyright status: ==

== Licensing ==
{{self|c}}
== Source: ==

GMU:Critical XR Lab/Lena Taßler

2022-10-30T23:12:38Z

Lena T:

Lena Taßler (Media Art and Design)
----
[[File:TitelHiddenConnection.gif|border|caption]]
----
====== Jede Sekunde werden Massen an Daten ausgetauscht. Ein Informationsnetz, unter Menschen und Maschinen. Pulsierend. Unentwegt. Kommunikation über Kontinente hinweg. Im Kontrast; der Wald. Ruhe. Harmonie. Vor unseren Augen verborgen pulsiert auch hier ein Netz aus Informationen. Bäume kommunizieren über Wurzeln, Pilzgeflechte und Duftstoffe. The Wood Wide Web überspannt ganze Wälder. ======
Every moment masses of data get exchanged. A mesh of informations, through humans and machines. Pulsating. Non-stop. Communication passing over continents in seconds. In contrast; the woods. Silence. Harmony. But hidden from our eyes there is also a busy network. Trees are communicating via roots, mushrooms and fragrances. The Wood Wide Web can connect hole forests.

With this project i wanted to visualize this hidden connection, to maybe also reflect our connection to nature. ''(For more information: Terra X Beitrag: https://www.zdf.de/dokumentation/terra-x/plus-schule-wie-baeume-kommunizieren-100.html)'' The idea came while experimenting with different techniques in the course. Before i haven't had any experiences with VR. I was surprised how surreal and at the same time natural it feels to look through the headset. 360° videos were kind of intensifying this feeling. As well as stopmotion-animation, because of the combination of magical moving of real objects.

----

[[File:Faecher_wald_1.gif|border|caption]]

Here is a test i animated with hand fans in the forest, which should act as lungs of the plants. Or just butterfly-like things. It’s out of about 30 photos, which already took quite some time and what is sadly very visible by looking at the moving shadows.

[[File:aufbau-wald-faecher.pdf|border|caption]]

----

[[File:Faecher-wald-test.gif|border|caption]]

Another one happened after sunset. No shadows, but huge change of light intensity.
Experimenting with lightpainting solved this problem so that the video can be played back and forth on repeat nearly unnoticed. It’s made by walking through the dark forest with a flashlight, while the ''Ricoh Theta V 360 camera'' took a photo with an exposure time of three seconds every four seconds.

----

[[File:lightpaintingwald360.gif|border|caption]]

First here the raw version straight out of the camera, consisting of 300 pictures. Later i edited the video with ''DaVinci Resolve'' to look even more surreal. For the sound i was running around with a VR-headset, following the light line with a controller. In ''Unity'' the movement got translated to sound in space.

{{#ev:youtube|xj7E0xaeKXw|left|}}
======''POV of VR-Headset''======

GMU:Critical XR Lab/Lena Taßler

2022-10-30T22:36:45Z

Lena T:

Lena Taßler (Media Art and Design)
----
[[File:TitelHiddenConnection.gif|border|caption]]
----
====== Jede Sekunde werden Massen an Daten ausgetauscht. Ein Informationsnetz, unter Menschen und Maschinen. Pulsierend. Unentwegt. Kommunikation über Kontinente hinweg. Im Kontrast; der Wald. Ruhe. Harmonie. Vor unseren Augen verborgen pulsiert auch hier ein Netz aus Informationen. Bäume kommunizieren über Wurzeln, Pilzgeflechte und Duftstoffe. The Wood Wide Web überspannt ganze Wälder. ======
<tt> Every moment masses of data get exchanged. A mesh of informations, through humans and machines. Pulsating. Non-stop. Communication passing over continents in seconds. In contrast; the woods. Silence. Harmony. But hidden from our eyes there is also a busy network. Trees are communicating via roots, mushrooms and fragrances. The Wood Wide Web can connect hole forests.</tt>

With this project i wanted to visualize this hidden connection, to maybe also reflect our connection to nature. ''(For more information: Terra X Beitrag: https://www.zdf.de/dokumentation/terra-x/plus-schule-wie-baeume-kommunizieren-100.html) ''The idea came while experimenting with different techniques in the course. Before i haven't had any experiences with VR. I was surprised how surreal and at the same time natural it feels to look through the headset. 360° videos were kind of intensifying this feeling. As well as stopmotion-animation, because of the combination of magical moving of real objects.

----

[[File:Faecher_wald_1.gif|border|caption]]

Here is a test i animated with hand fans in the forest, which should act as lungs of the plants. Or just butterfly-like things. It’s out of about 30 photos, which already took quite some time and what is sadly very visible by looking at the moving shadows.

----

[[File:Faecher-wald-test.gif|border|caption]]

Another one happened after sunset. No shadows, but huge change of light intensity.
Experimenting with lightpainting solved this problem so that the video can be played back and forth on repeat nearly unnoticed. It’s made by walking through the dark forest with a flashlight, while the ''Ricoh Theta V 360 camera'' took a photo with an exposure time of three seconds every four seconds.

----

[[File:lightpaintingwald360.gif|border|caption]]

First here the raw version straight out of the camera, consisting of 300 pictures. Later i edited the video with ''DaVinci Resolve'' to look even more surreal. For the sound i was running around with a VR-headset, following the light line with a controller. In ''Unity'' the movement got translated to sound in space.

{{#ev:youtube|xj7E0xaeKXw|left|}}
====''POV of VR-Headset''====

File:TitelHiddenConnection.gif

2022-10-30T22:21:23Z

Lena T:

== Summary ==

== Copyright status: ==

== Source: ==

GMU:Critical XR Lab/Lena Taßler

2022-10-27T01:29:40Z

Lena T:

Lena Taßler (Media Art and Design)
----
====== Jede Sekunde werden Massen an Daten ausgetauscht. Ein Informationsnetz, unter Menschen und Maschinen. Pulsierend. Unentwegt. Kommunikation über Kontinente hinweg. Im Kontrast; der Wald. Ruhe. Harmonie. Vor unseren Augen verborgen pulsiert auch hier ein Netz aus Informationen. Bäume kommunizieren über Wurzeln, Pilzgeflechte und Duftstoffe. The Wood Wide Web überspannt ganze Wälder. ======
Every moment masses of data get exchanged. A mesh of informations, through humans and machines. Pulsating. Non-stop. Communication passing over continents in seconds. In contrast; the woods. Silence. Harmony. But hidden from our eyes there is also a busy network. Trees are communicating via roots, mushrooms and fragrances. The Wood Wide Web can connect hole forests.

With this project i wanted to visualize this hidden connection, to maybe also reflect our connection to nature. ''(For more information: Terra X Beitrag: https://www.zdf.de/dokumentation/terra-x/plus-schule-wie-baeume-kommunizieren-100.html) ''The idea came while experimenting with different techniques in the course. Before i haven't had any experiences with VR. I was surprised how surreal and at the same time natural it feels to look through the headset. 360° videos were kind of intensifying this feeling. As well as stopmotion-animation, because of the combination of magical moving of real objects.

[[File:Faecher_wald_1.gif|border|caption]]

Here is a test i animated with hand fans in the forest, which should act as lungs of the plants. Or just butterfly-like things. It’s out of about 30 photos, which already took quite some time and what is sadly very visible by looking at the moving shadows.

[[File:Faecher-wald-test.gif|border|caption]]

Another one happened after sunset. No shadows, but huge change of light intensity.
Experimenting with lightpainting solved this problem so that the video can be played back and forth on repeat nearly unnoticed. It’s made by walking through the dark forest with a flashlight, while the ''Ricoh Theta V 360 camera'' took a photo with an exposure time of three seconds every four seconds.

[[File:lightpaintingwald360.gif|border|caption]]

First here the raw version straight out of the camera, consisting of 300 pictures. Later i edited the video with ''DaVinci Resolve'' to look even more surreal. For the sound i was running around with a VR-headset, following the light line with a controller. In ''Unity'' the movement got translated to sound in space.

{{#ev:youtube|xj7E0xaeKXw|left|}}
POV of VR-Headset

File:Aufbau-wald-faecher.jpg

2022-10-27T01:27:41Z

Lena T:

== Summary ==

== Copyright status: ==

== Licensing ==
{{self|c}}
== Source: ==

GMU:Critical XR Lab/Lena Taßler

2022-10-27T01:22:26Z

Lena T:

Lena Taßler (Media Art and Design)
----
====== Jede Sekunde werden Massen an Daten ausgetauscht. Ein Informationsnetz, unter Menschen und Maschinen. Pulsierend. Unentwegt. Kommunikation über Kontinente hinweg. Im Kontrast; der Wald. Ruhe. Harmonie. Vor unseren Augen verborgen pulsiert auch hier ein Netz aus Informationen. Bäume kommunizieren über Wurzeln, Pilzgeflechte und Duftstoffe. The Wood Wide Web überspannt ganze Wälder. ======
Every moment masses of data get exchanged. A mesh of informations, through humans and machines. Pulsating. Non-stop. Communication passing over continents in seconds. In contrast; the woods. Silence. Harmony. But hidden from our eyes there is also a busy network. Trees are communicating via roots, mushrooms and fragrances. The Wood Wide Web can connect hole forests.

With this project i wanted to visualize this hidden connection, to maybe also reflect our connection to nature. ''(For more information: Terra X Beitrag: https://www.zdf.de/dokumentation/terra-x/plus-schule-wie-baeume-kommunizieren-100.html) ''The idea came while experimenting with different techniques in the course. Before i haven't had any experiences with VR. I was surprised how surreal and at the same time natural it feels to look through the headset. 360° videos were kind of intensifying this feeling. As well as stopmotion-animation, because of the combination of magical moving of real objects.

[[File:Faecher_wald_1.gif|border|caption]]

Here is a test i animated with hand fans in the forest, which should act as lungs of the plants. Or just butterfly-like things. It’s out of about 30 photos, which already took quite some time and what is sadly very visible by looking at the moving shadows.

[[File:aufbau_wald_faecher.jpg|frame|caption]]

[[File:Faecher-wald-test.gif|border|caption]]

Another one happened after sunset. No shadows, but huge change of light intensity.
Experimenting with lightpainting solved this problem so that the video can be played back and forth on repeat nearly unnoticed. It’s made by walking through the dark forest with a flashlight, while the ''Ricoh Theta V 360 camera'' took a photo with an exposure time of three seconds every four seconds.

[[File:lightpaintingwald360.gif|border|caption]]

First here the raw version straight out of the camera, consisting of 300 pictures. Later i edited the video with ''DaVinci Resolve'' to look even more surreal. For the sound i was running around with a VR-headset, following the light line with a controller. In ''Unity'' the movement got translated to sound in space.

{{#ev:youtube|xj7E0xaeKXw|left|}}
POV of VR-Headset

GMU:Critical XR Lab/Lena Taßler

2022-10-27T01:14:09Z

Lena T:

Lena Taßler (Media Art and Design)
----
====== Jede Sekunde werden Massen an Daten ausgetauscht. Ein Informationsnetz, unter Menschen und Maschinen. Pulsierend. Unentwegt. Kommunikation über Kontinente hinweg. Im Kontrast; der Wald. Ruhe. Harmonie. Vor unseren Augen verborgen pulsiert auch hier ein Netz aus Informationen. Bäume kommunizieren über Wurzeln, Pilzgeflechte und Duftstoffe. The Wood Wide Web überspannt ganze Wälder. ======
Every moment masses of data get exchanged. A mesh of informations, through humans and machines. Pulsating. Non-stop. Communication passing over continents in seconds. In contrast; the woods. Silence. Harmony. But hidden from our eyes there is also a busy network. Trees are communicating via roots, mushrooms and fragrances. The Wood Wide Web can connect hole forests.

With this project i wanted to visualize this hidden connection, to maybe also reflect our connection to nature.====== (For more information: Terra X Beitrag: https://www.zdf.de/dokumentation/terra-x/plus-schule-wie-baeume-kommunizieren-100.html) ======The idea came while experimenting with different techniques in the course. Before i haven't had any experiences with VR. I was surprised how surreal and at the same time natural it feels to look through the headset. 360° videos were kind of intensifying this feeling. As well as stopmotion-animation, because of the combination of magical moving of real objects.

[[File:Faecher_wald_1.gif|border|caption]]

Here is a test i animated with hand fans in the forest, which should act as lungs of the plants. Or just butterfly-like things. It’s out of about 30 photos, which already took quite some time and what is sadly very visible by looking at the moving shadows.

[[File:aufbau_wald_faecher.JPG|border|caption]]

[[File:Faecher-wald-test.gif|border|caption]]

Another one happened after sunset. No shadows, but huge change of light intensity.
Experimenting with lightpainting solved this problem so that the video can be played back and forth on repeat nearly unnoticed. It’s made by walking through the dark forest with a flashlight, while the ``Ricoh Theta V 360 camera`` took a photo with an exposure time of three seconds every four seconds.

[[File:lightpaintingwald360.gif|border|caption]]

First here the raw version straight out of the camera, consisting of 300 pictures. Later i edited the video with ``DaVinci Resolve`` to look even more surreal. For the sound i was running around with a VR-headset, following the light line with a controller. In ``Unity`` the movement got translated to sound in space.

{{#ev:youtube|xj7E0xaeKXw|left|}}
POV of VR-Headset

File:Lightpaintingwald360.gif

2022-10-27T00:59:17Z

Lena T: 360 lightpainting wald

== Summary ==
360 lightpainting wald
== Copyright status: ==

== Licensing ==
{{self|c}}
== Source: ==

File:Aufbau wald faecher.JPG

2022-10-27T00:57:05Z

Lena T: BTS 360 stopmotion forest

== Summary ==
BTS 360 stopmotion forest
== Copyright status: ==

== Licensing ==
{{self|c}}
== Source: ==

GMU:Critical XR Lab/Lena Taßler

2022-10-27T00:54:54Z

Lena T:

Lena Taßler (Media Art and Design)
----
====== Jede Sekunde werden Massen an Daten ausgetauscht. Ein Informationsnetz, unter Menschen und Maschinen. Pulsierend. Unentwegt. Kommunikation über Kontinente hinweg. Im Kontrast; der Wald. Ruhe. Harmonie. Vor unseren Augen verborgen pulsiert auch hier ein Netz aus Informationen. Bäume kommunizieren über Wurzeln, Pilzgeflechte und Duftstoffe. The Wood Wide Web überspannt ganze Wälder. ======
Every moment masses of data get exchanged. A mesh of informations, through humans and machines. Pulsating. Non-stop. Communication passing over continents in seconds. In contrast; the woods. Silence. Harmony. But hidden from our eyes there is also a busy network. Trees are communicating via roots, mushrooms and fragrances. The Wood Wide Web can connect hole forests.

With this project i wanted to visualize this hidden connection, to maybe also reflect our connection to nature.===== (For more information: Terra X Beitrag: https://www.zdf.de/dokumentation/terra-x/plus-schule-wie-baeume-kommunizieren-100.html) =====The idea came while experimenting with different techniques in the course. Before i haven't had any experiences with VR. I was surprised how surreal and at the same time natural it feels to look through the headset. 360° videos were kind of intensifying this feeling. As well as stopmotion-animation, because of the combination of magical moving of real objects.

[[File:Faecher_wald_1.gif|border|caption]]

Here is a test i animated with hand fans in the forest, which should act as lungs of the plants. Or just butterfly-like things. It’s out of about 30 photos, which already took quite some time and what is sadly very visible by looking at the moving shadows.

[[File:Faecher-wald-test.gif|border|caption]]

Another one happened after sunset. No shadows, but huge change of light intensity.
Experimenting with lightpainting solved this problem so that the video can be played back and forth on repeat nearly unnoticed. It’s made by walking through the dark forest with a flashlight, while the ``Ricoh Theta V 360 camera`` took a photo with an exposure time of three seconds every four seconds.

First here the raw version straight out of the camera, consisting of 300 pictures. Later i edited the video with ``DaVinci Resolve`` to look even more surreal. For the sound i was running around with a VR-headset, following the light line with a controller. In ``Unity`` the movement got translated to sound in space.

POV of VR-Headset

File:Faecher-wald-test.gif

2022-10-27T00:38:19Z

Lena T: Lena T uploaded a new version of File:Faecher-wald-test.gif

== Summary ==
360 stopmotion
== Copyright status: ==

== Licensing ==
{{self|c}}
== Source: ==

File:Faecher-wald-test.gif

2022-10-27T00:32:08Z

Lena T: 360 stopmotion

== Summary ==
360 stopmotion
== Copyright status: ==

== Licensing ==
{{self|c}}
== Source: ==

GMU:Critical XR Lab/Lena Taßler

2022-10-27T00:29:46Z

Lena T:

GMU:Critical XR Lab/Lena Taßler

2022-10-27T00:19:40Z

Lena T:

Lena Taßler (Media Art and Design)

[[File:Faecher_wald_1.gif|border|caption]]

File:Faecher wald 1.gif

2022-10-27T00:15:40Z

Lena T: 360 stopmotion

== Summary ==
360 stopmotion
== Copyright status: ==

== Licensing ==
{{self|c}}
== Source: ==

GMU:Critical XR Lab/Lena Taßler

2022-10-26T23:17:27Z

Lena T: Created page with "Lena Taßler (Media Art and Design)"

Lena Taßler (Media Art and Design)

GMU:Critical XR Lab

2022-06-07T21:15:08Z

Lena T: /* 09.06.2022 */

Lecturer: [[Jörg Brinkmann]] 
Credits: 6 [[ECTS]], 4 [[SWS]] 
Date: Thursdays, 15:15 bis 18:30 
Venue: [[GMU:Performance Platform|Digital Bauhaus Lab]] 
First Date: Thursday, 14.04.2022, 15:15

==Description==
'''Critical XR Lab''' is a beginner module that offers an Introduction to the Unity game engine. The course will be taught in the Digital Bauhaus Lab, where participants will be able to experiment with different virtual reality (VR) and augmented reality (AR) technologies and concepts.

'''The course will be taught in two phases:''' 
In phase one participants will be introduced to an overview of the Unity interface and different techniques (Lights, Skyboxes, Prefabs, Timeline, Animation) and technologies (VR headsets, 360 video, AR apps).
The learning phase will be accompanied by lectures and discussions that are focused on finding strategies for dealing with the possibilities and challenges of working artistically with Game Engines and VR/AR technologies. At the end of phase one, students will have created an experience with Unity.

In phase two students are challenged to reflect, discuss, rethink and rework their Unity experience, based on individual research and experienced insights. The course emphasises on artistic and opposing ways of working with XR concepts. It’s aim is to establish individual approaches to VR/AR; challenging new mediums that offer artists new possibilities for expression and intercultural communication.

==Recommended Requirements==
No previous knowledge of Unity or other 3D software is needed, but applicants should have access to a laptop and headphones.

==Criteria for passing==
In order to successfully participate you will have to develop and document your own project on the GMU Wiki. Also, complete the exercises and comply with the submission deadlines

==Communication throughout the semester==

'''The GMU-Wiki''' 
Here you can find all the info about our class and also present your work linked under your name 
Please create your account under this link with your University email adress: 
'''https://www.uni-weimar.de/kunst-und-gestaltung/wiki/Special:CreateAccount'''

'''Telegram''' 
CriticalVR1 will be our collective chatroom 
Please download Telegram and join for group discussions: 
'''https://t.me/+G4cvKV2cHyfhy2z9'''

==Student works (after login, please add your name and create a page)==
* [[/Lena Taßler/]]
* [[/Lukas Millius/]]
* [[/Nico Brockmann/]]
* [[/Mojjo Krenz/]]
* [https://www.uni-weimar.de/kunst-und-gestaltung/wiki/GMU:Critical_XR_Lab/Markus_Siegel Markus Siegel]

==Consulatations==

===09.06.2022===

'''Consultations via BBB''' 
Choose your timeslot for an individual consultation. To start the conversation open the link which will start the video chat in your browser and click 'join' 
'''https://meeting.uni-weimar.de/b/jor-5mw-gr9-uar'''

14:00 - 14:30 CEST – Mojjo 
14:30 - 15:00 CEST – Markus Siegel 
15:00 - 15:30 CEST – Lena 
15:30 - 16:00 CEST – (put your name here) 
16:00 - 16:30 CEST – (put your name here) 
16:30 - 17:00 CEST – Lukas Millius 
17:00 - 17:30 CEST – (put your name here) 
17:30 - 18:00 CEST – (put your name here) 
18:00 - 18:30 CEST – (put your name here)

===16.06.2022===

===23.06.2022===

===30.06.2022===

===07.07.2022===

===14.07.2022===

{{Template:VR Toolbox}}

[[Category:WS22]]
[[Category:Werkmodul]]
[[Category:Fachmodul]]
[[Category:Jörg Brinkmann]]

GMU:Critical XR Lab

2022-06-07T21:14:48Z

Lena T: /* 09.06.2022 */

Lecturer: [[Jörg Brinkmann]] 
Credits: 6 [[ECTS]], 4 [[SWS]] 
Date: Thursdays, 15:15 bis 18:30 
Venue: [[GMU:Performance Platform|Digital Bauhaus Lab]] 
First Date: Thursday, 14.04.2022, 15:15

==Description==
'''Critical XR Lab''' is a beginner module that offers an Introduction to the Unity game engine. The course will be taught in the Digital Bauhaus Lab, where participants will be able to experiment with different virtual reality (VR) and augmented reality (AR) technologies and concepts.

'''The course will be taught in two phases:''' 
In phase one participants will be introduced to an overview of the Unity interface and different techniques (Lights, Skyboxes, Prefabs, Timeline, Animation) and technologies (VR headsets, 360 video, AR apps).
The learning phase will be accompanied by lectures and discussions that are focused on finding strategies for dealing with the possibilities and challenges of working artistically with Game Engines and VR/AR technologies. At the end of phase one, students will have created an experience with Unity.

In phase two students are challenged to reflect, discuss, rethink and rework their Unity experience, based on individual research and experienced insights. The course emphasises on artistic and opposing ways of working with XR concepts. It’s aim is to establish individual approaches to VR/AR; challenging new mediums that offer artists new possibilities for expression and intercultural communication.

==Recommended Requirements==
No previous knowledge of Unity or other 3D software is needed, but applicants should have access to a laptop and headphones.

==Criteria for passing==
In order to successfully participate you will have to develop and document your own project on the GMU Wiki. Also, complete the exercises and comply with the submission deadlines

==Communication throughout the semester==

'''The GMU-Wiki''' 
Here you can find all the info about our class and also present your work linked under your name 
Please create your account under this link with your University email adress: 
'''https://www.uni-weimar.de/kunst-und-gestaltung/wiki/Special:CreateAccount'''

'''Telegram''' 
CriticalVR1 will be our collective chatroom 
Please download Telegram and join for group discussions: 
'''https://t.me/+G4cvKV2cHyfhy2z9'''

==Student works (after login, please add your name and create a page)==
* [[/Lena Taßler/]]
* [[/Lukas Millius/]]
* [[/Nico Brockmann/]]
* [[/Mojjo Krenz/]]
* [https://www.uni-weimar.de/kunst-und-gestaltung/wiki/GMU:Critical_XR_Lab/Markus_Siegel Markus Siegel]

==Consulatations==

===09.06.2022===

'''Consultations via BBB''' 
Choose your timeslot for an individual consultation. To start the conversation open the link which will start the video chat in your browser and click 'join' 
'''https://meeting.uni-weimar.de/b/jor-5mw-gr9-uar'''

14:00 - 14:30 CEST – Mojjo 
14:30 - 15:00 CEST – Markus Siegel 
15:00 - 15:30 CEST – (Lena) 
15:30 - 16:00 CEST – (put your name here) 
16:00 - 16:30 CEST – (put your name here) 
16:30 - 17:00 CEST – Lukas Millius 
17:00 - 17:30 CEST – (put your name here) 
17:30 - 18:00 CEST – (put your name here) 
18:00 - 18:30 CEST – (put your name here)

===16.06.2022===

===23.06.2022===

===30.06.2022===

===07.07.2022===

===14.07.2022===

{{Template:VR Toolbox}}

[[Category:WS22]]
[[Category:Werkmodul]]
[[Category:Fachmodul]]
[[Category:Jörg Brinkmann]]

GMU:Critical XR Lab

2022-04-27T10:56:00Z

Lena T: /* Student works (after login, please add your name and create a page) */

Lecturer: [[Jörg Brinkmann]] 
Credits: 6 [[ECTS]], 4 [[SWS]] 
Date: Thursdays, 15:15 bis 18:30 
Venue: [[GMU:Performance Platform|Digital Bauhaus Lab]] 
First Date: Thursday, 14.04.2022, 15:15

==Description==
'''Critical XR Lab''' is a beginner module that offers an Introduction to the Unity game engine. The course will be taught in the Digital Bauhaus Lab, where participants will be able to experiment with different virtual reality (VR) and augmented reality (AR) technologies and concepts.

'''The course will be taught in two phases:''' 
In phase one participants will be introduced to an overview of the Unity interface and different techniques (Lights, Skyboxes, Prefabs, Timeline, Animation) and technologies (VR headsets, 360 video, AR apps).
The learning phase will be accompanied by lectures and discussions that are focused on finding strategies for dealing with the possibilities and challenges of working artistically with Game Engines and VR/AR technologies. At the end of phase one, students will have created an experience with Unity.

In phase two students are challenged to reflect, discuss, rethink and rework their Unity experience, based on individual research and experienced insights. The course emphasises on artistic and opposing ways of working with XR concepts. It’s aim is to establish individual approaches to VR/AR; challenging new mediums that offer artists new possibilities for expression and intercultural communication.

==Recommended Requirements==
No previous knowledge of Unity or other 3D software is needed, but applicants should have access to a laptop and headphones.

==Criteria for passing==
In order to successfully participate you will have to develop and document your own project on the GMU Wiki. Also, complete the exercises and comply with the submission deadlines

==Communication throughout the semester==

'''The GMU-Wiki''' 
Here you can find all the info about our class and also present your work linked under your name 
Please create your account under this link with your University email adress: 
'''https://www.uni-weimar.de/kunst-und-gestaltung/wiki/Special:CreateAccount'''

'''Telegram''' 
CriticalVR1 will be our collective chatroom 
Please download Telegram and join for group discussions: 
'''https://t.me/+G4cvKV2cHyfhy2z9'''

==Student works (after login, please add your name and create a page)==
* [[/Lena Taßler/]]

==Syllabus==

===14.04.2022===

===21.04.2022===

===28.04.2022===

===05.05.2022===

===12.05.2022===

===19.05.2022===

===26.05.2022===

===02.06.2022===

===09.06.2022===

===16.06.2022===

===23.06.2022===

===30.06.2022===

===07.07.2022===

===14.07.2022===

{{Template:VR Toolbox}}

[[Category:WS22]]
[[Category:Werkmodul]]
[[Category:Fachmodul]]
[[Category:Jörg Brinkmann]]

GMU:Computer's Cut/Lena Taßler

2022-03-07T17:18:47Z

Lena T: /* Subtitle Detection */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}

==Subtitle Detection==
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

==Audio Detection==
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

==Object Detection==
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPo|left|}}

==Final Assigment==
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structure, but may contain political messages as well as trivial feel-good content; Putin propaganda as well as opinions about the new Spider-man movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in social media way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up I played the song snippets slightly alienated in the background also in this part.
So I planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The end result is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

==Photos of the process==
[[File:Bildschirmfoto 2022-03-07 um 17.02.28.png|400px]]
''subtitle detection''

----

[[File:Bildschirmfoto 2022-03-07 um 17.41.16.png|400px]]
''pitch resorting''

----

[[File:Bildschirmfoto 2022-03-07 um 17.51.13.png|400px]]
''timecodes in shotcut mlt file''

----

[[File:Bildschirmfoto 2022-03-07 um 18.05.38.png|400px]]
''cuts in shotcut project''

----

GMU:Computer's Cut/Lena Taßler

2022-03-07T17:18:15Z

Lena T: /* Photos of the process */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
==Subtitle Detection==
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

==Audio Detection==
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

==Object Detection==
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPo|left|}}

==Final Assigment==
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structure, but may contain political messages as well as trivial feel-good content; Putin propaganda as well as opinions about the new Spider-man movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in social media way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up I played the song snippets slightly alienated in the background also in this part.
So I planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The end result is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

==Photos of the process==
[[File:Bildschirmfoto 2022-03-07 um 17.02.28.png|400px]]
''subtitle detection''

----

[[File:Bildschirmfoto 2022-03-07 um 17.41.16.png|400px]]
''pitch resorting''

----

[[File:Bildschirmfoto 2022-03-07 um 17.51.13.png|400px]]
''timecodes in shotcut mlt file''

----

[[File:Bildschirmfoto 2022-03-07 um 18.05.38.png|400px]]
''cuts in shotcut project''

----

GMU:Computer's Cut/Lena Taßler

2022-03-07T17:13:29Z

Lena T: /* Audio Detection */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
==Subtitle Detection==
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

==Audio Detection==
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

==Object Detection==
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPo|left|}}

==Final Assigment==
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structure, but may contain political messages as well as trivial feel-good content; Putin propaganda as well as opinions about the new Spider-man movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in social media way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up I played the song snippets slightly alienated in the background also in this part.
So I planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The end result is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.
==Photos of the process==
[[File:Bildschirmfoto 2022-03-07 um 17.02.28.png|400px]]
subtitle detection

[[File:Bildschirmfoto 2022-03-07 um 17.41.16.png|400px]]
pitch resorting

[[File:Bildschirmfoto 2022-03-07 um 17.51.13.png|400px]]
timecodes in shotcut mlt file

[[File:Bildschirmfoto 2022-03-07 um 18.05.38.png|400px]]
cuts in shotcut project

GMU:Computer's Cut/Lena Taßler

2022-03-07T17:11:33Z

Lena T: /* Subtitle Detection */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
==Subtitle Detection==
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

=Audio Detection=
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

==Object Detection==
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPo|left|}}

==Final Assigment==
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structure, but may contain political messages as well as trivial feel-good content; Putin propaganda as well as opinions about the new Spider-man movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in social media way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up I played the song snippets slightly alienated in the background also in this part.
So I planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The end result is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

[[File:Bildschirmfoto 2022-03-07 um 17.02.28.png|400px]]
subtitle detection

[[File:Bildschirmfoto 2022-03-07 um 17.41.16.png|400px]]
frequency detection

[[File:Bildschirmfoto 2022-03-07 um 17.51.13.png|400px]]
timecodes in shotcut mlt file

[[File:Bildschirmfoto 2022-03-07 um 18.05.38.png|400px]]

GMU:Computer's Cut/Lena Taßler

2022-03-07T17:10:53Z

Lena T: /* Object Detection */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
=Subtitle Detection=
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

=Audio Detection=
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

==Object Detection==
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPo|left|}}

==Final Assigment==
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structure, but may contain political messages as well as trivial feel-good content; Putin propaganda as well as opinions about the new Spider-man movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in social media way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up I played the song snippets slightly alienated in the background also in this part.
So I planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The end result is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

[[File:Bildschirmfoto 2022-03-07 um 17.02.28.png|400px]]
subtitle detection

[[File:Bildschirmfoto 2022-03-07 um 17.41.16.png|400px]]
frequency detection

[[File:Bildschirmfoto 2022-03-07 um 17.51.13.png|400px]]
timecodes in shotcut mlt file

[[File:Bildschirmfoto 2022-03-07 um 18.05.38.png|400px]]

File:Bildschirmfoto 2022-03-07 um 18.05.38.png

2022-03-07T17:09:43Z

Lena T: File uploaded with MsUpload

File uploaded with MsUpload

File:Bildschirmfoto 2022-03-07 um 17.51.13.png

2022-03-07T16:52:20Z

Lena T: File uploaded with MsUpload

File uploaded with MsUpload

File:Bildschirmfoto 2022-03-07 um 17.41.16.png

2022-03-07T16:42:12Z

Lena T: File uploaded with MsUpload

File uploaded with MsUpload

File:Bildschirmfoto 2022-03-07 um 17.02.28.png

2022-03-07T16:17:36Z

Lena T: File uploaded with MsUpload

File uploaded with MsUpload

GMU:Computer's Cut/Lena Taßler

2022-03-07T15:57:11Z

Lena T: /* Final Assigment */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
=Subtitle Detection=
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

=Audio Detection=
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

=Object Detection=
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPo|left|}}

==Final Assigment==
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structure, but may contain political messages as well as trivial feel-good content; Putin propaganda as well as opinions about the new Spider-man movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in social media way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up I played the song snippets slightly alienated in the background also in this part.
So I planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The end result is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

GMU:Computer's Cut/Lena Taßler

2022-03-04T16:55:32Z

Lena T: /* Object Detection */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
=Subtitle Detection=
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

=Audio Detection=
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

=Object Detection=
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPo|left|}}

=Final Assigment=
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structure, but may contain political messages as well as trivial feel-good content; Putin propaganda as well as opinions about the new Spider-man movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in social media way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up i played the song snippets slightly alienated in the background also in this part.
So i planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The end result is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

GMU:Computer's Cut/Lena Taßler

2022-03-04T01:06:12Z

Lena T: /* Object Detection */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
=Subtitle Detection=
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

=Audio Detection=
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

=Object Detection=
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPoI|left|}}

=Final Assigment=
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structur, but may contain political messages as well as trivial feelgood content; Putin propaganda as well as opinions about the new Spiderman movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in socialmedia way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up i played the song snippets slightly alienated in the background also in this part.
So i planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The endresult is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

GMU:Computer's Cut/Lena Taßler

2022-03-04T01:06:01Z

Lena T: /* Audio Detection */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
=Subtitle Detection=
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

=Audio Detection=
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}

=Object Detection=
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPoI|left|}}
=Final Assigment=
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structur, but may contain political messages as well as trivial feelgood content; Putin propaganda as well as opinions about the new Spiderman movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in socialmedia way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up i played the song snippets slightly alienated in the background also in this part.
So i planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The endresult is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

GMU:Computer's Cut/Lena Taßler

2022-03-04T01:05:45Z

Lena T: /* Subtitle Detection */

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
=Subtitle Detection=
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}

=Audio Detection=
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}
=Object Detection=
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPoI|left|}}
=Final Assigment=
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structur, but may contain political messages as well as trivial feelgood content; Putin propaganda as well as opinions about the new Spiderman movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in socialmedia way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up i played the song snippets slightly alienated in the background also in this part.
So i planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The endresult is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

GMU:Computer's Cut/Lena Taßler

2022-03-04T01:04:31Z

Lena T:

{{#ev:youtube|AkEeO9iEIWM|740|left|}}
=Subtitle Detection=
With the help of subtitle detection i collected sentences which contains "i". So you can get to know the strong personalities from the hyped docu about the penny store at the reeperbahn.

{{#ev:youtube|bWUGfeTIrFc|left|}}
=Audio Detection=
With a pd program to detect frequencies and play them to new midi files, a piece by mozart quickly became "Alle meine Entchen".

{{#ev:youtube|fHR89xXuShI|left|}}
=Object Detection=
With the help of AI i had a look at people in ads throught the decades.

{{#ev:youtube|iHEcWDTwcPoI|left|}}
=Final Assigment=
When you open Instagram, TikTok und co you are surrounded by a never ending number of similar looking short videos. They convey different topics, perspectives and opinions but have similar appearance because they use the same audio track or meme reference a.s.o.. So they seem to have the same structur, but may contain political messages as well as trivial feelgood content; Putin propaganda as well as opinions about the new Spiderman movie. So different feeds in different persons bubbles will look superficially viewed very similar. Nearly all of these videos are made for short attention and are following a kind of trend, which defines the structure. I suppose this effect of conformity is caused by the recommendation algorithm. Creators may even know that and adapt their contents to these criteria. At least our viewing patterns are already adjusted.
These structures, characterised by similarity, are at the same time repetitive in a replicating way, but also in an inspiring and variation creating way. I think it has the potential to set new contexts, connect and show various perspectives. But stuck in our bubbles, we may not recognize that.

This work represent exaggeratively such a bubble; a loop of suggestions. With similar appearance and to the same audio track, also to similar topics or actually more unsubstantial content. So maybe it is more a negative example of the uninspiring effects, the algorithm causes. Also you can play the video (in socialmedia way) in an endless loop, so it goes “on and on“. The parts with this text line are made with subtitle detection.
The other part of the video is made with the “pitch resorting“-tool and stands in contrast to the other ones. It deconstructed a collection of the most liked tiktoks and is playing the before played melody. Because of the unclear frequencies of the source material, it is a more rhythmic than melodic part. To mix everything more together and bring the melody more up i played the song snippets slightly alienated in the background also in this part.
So i planned the two different types of parts in the video as very contrasting; exaggerated and deconstructed structure. The endresult is playing with typical concepts on the background of algorithmic created Bubbles with different topics, but with (in my view) similar packaging. Something worth to think about further.

GMU:Computer's Cut/Lena Taßler

2022-01-31T03:23:29Z

Lena T:

GMU:Computer's Cut/Lena Taßler

2021-12-31T18:13:31Z

Lena T:

GMU:Computer's Cut/Lena Taßler

2021-11-08T09:49:20Z

Lena T: Created page with "https://youtu.be/AkEeO9iEIWM"

https://youtu.be/AkEeO9iEIWM

GMU:Computer's Cut

2021-11-08T09:48:45Z

Lena T: /* Participants */

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

==Description==
Micro-editing is a technique of rearranging tiny fragments of media to form a new work. In the context of music, microhouse is a subgenre of house which employs this technique. [https://soundcloud.com/aku-en/akufen-deck-the-house Akufen's Deck the House] from 2002 may serve as an example. In the context of experimental film, Martin Arnold compiled his 1989 montage “[https://www.youtube.com/watch?v=AnDagpv4kUk Pièce Touchée]” entirely from found-footage by copying frames in a specific order with an [[wikipedia:Optical printer|optical printer]], emphasizing and amplifying gestures from the original movie. Steina Vasulka, [http://www.mediaartnet.org/works/modell-5/ Granular Synthesis] and many other artists followed in exploring an aesthetic of deconstruction and reassembly of the timeline in moving images. In pop culture this “audiovisual cut-up” was used to expand the visual language of music clips and to have the audiences of live performances spellbound. Micro-edits are used in different contexts ranging from media art, experimental film-making to music clips and advertising.
Digital video has become an almost infinite source of to-be-[[wikipedia:Found footage (film technique)|found-footage]] which is accessible to anyone, anytime through platforms like YouTube, which are essentially databases for moving images of almost any kind. They enabled pop culture phenomenons like supercuts: compilations of short shots of the same action, or [https://www.youtube.com/results?search_query=ytp YouTube Poop] mashups of videos with a comical and at times immature humour: Today, meta information, close captions, machine learning analysis and music information retrieval can provide the means to generate automated edits. Real-time reassembly of media fragments based on databases, feature extraction or meta-information has become entirely feasible. In the class Computer's Cut — Generative Video Editing we will learn to let algorithms cut and edit.

==Syllabus==

==Participants==
* [[/Julian Mosbach/]]
* [[/Jacob Heine/]]
* [[/Kristin Jakubek/]]
* [[/Sinan Kılıç/]]
* [[/Christian Dähne/]]
* [[/Moritz Lang/]]
* [[/Jo-Ann Döring/]]
* [[/Lena Taßler/]]

== Files==
* [https://github.com/BauhausUniversity/cuttlefish/tree/master Cuttlefish] Python scripts and tools
* [[Audiovideo]] Pure Data Workshop

== Links ==
* [[Audiovision Linkliste]]
* [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing]
* http://thisunruly.com
* http://reorder.tv
* https://www.reclaimingremix.com
* [https://journal.transformativeworks.org/index.php/twc/article/view/371/299 A history of subversive remix video before YouTube: Thirty political video mashups made between World War II and 2005]
* [[wikipedia:Edit decision list]] EDL
* [[wikipedia:Regular expression]] Online regex tester: [https://regex101.com RegEx101]
* David Claerbout - The pure necessity https://www.instagram.com/p/B3nHj-MgEyj/ & https://davidclaerbout.com/The-pure-necessity-2016

== Software ==
* [[Audio tools]]
* [[Video tools]]

* [https://code.visualstudio.com Microsoft Visual Studio Code] Editor (open source)
** [https://vscodium.com VSCodium] Visual Studio Code without the Microsoft telemetry (open source)

* [https://www.videolan.org VLC] Media Player (helps you downloading YouTube videos: copy YouTube URL, open in VLC as network stream, then go to Tools -> Media Information, copy the Location and paste back into the Browser from where you can save it) (open source)
* [https://downsub.com downsub.com] Web service to get the subtitles from a YouTube video (web-service)
* [http://www.aegisub.org Aegisub] Subtitle Editor (open source)
* [https://www.praxislive.org Praxis Live] (open source)
* [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) (open source)
** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips (open source)
** [https://jupyter.org Jupyter Notebook] (open source)

* [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] (open source)
* [https://github.com/deepfakes/faceswap Deepfakes Faceswap] (open source)
* [https://github.com/NVlabs/imaginaire NVlabs/imaginaire] (open source)

==See also==
* [[Open Frameworks]]
* [[Processing]]
* [[Pure Data - Getting started]]

[[Category:WS21]]
[[Category:Max Neupert]]
[[Category:Fachmodul]]
[[Category:Werkmodul]]