Top 10 Student Works from my Illuminated Errors course on Skillshare
#1
Top 10 Student Works from my Illuminated Errors course on Skillshare
#1
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Processing + JPGs
Randomly varying byte 0x37 and byte 0xCD. Animating the usable frames.
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Processing + JPGs
Cycling through values of byte 0xC7 gave the frames of the animation above, as well as loads of files that Processing refused to load.
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Processing + JPGs
Byte number 55 or 0x37 of a 640x480 JPG encoded at the highest quality using GIMP was sequentially stepped through all possible values. This is a snip of 25 of those values.
Thanks to Ted Davis for insight into the technique of tinkering with JPG Huffman encoding tables. This manipulation is performed on the first byte in the luminance tables.
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Processing + JPGs
After meeting Ted Davis (FFD8) and attending his panel with Paul Hertz at Gli.tc/h in Chicago earlier this month, I decided that I should get over my personal aversion to programming.
Using Processing, I’ve written a primitive (and probably poorly structured) program that will enable me to go through a file byte by byte and sequentially change the value of a particular byte.
The GIF above started as a JPG. By stepping byte number 0xC4 (or the 196th byte in the file) through values 128 through 220, the alignment of the image raster was thrown askew.
Writing a program to proceduralize the restructuring of data doesn’t seem antithetical to the glitch ethos. Though, somehow there’s a line that is crossed once that code becomes packaged and sold, used only for a particular effect, rather than extended further. At that point, the process seems little different from the ritualized produce/consume (prosume) paradigm established by large “productivity” software firms. For me, anyways, glitch has been about skirting the usual channels of productivity. Creating your own tools is part of that.
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Superfluidity
Static and Dynamic. A GIF created at the breaking point of a databent DV.
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Forest for the Trees (Series)
HD video shot while driving through the Rocky Mountain National Park was databent in Audacity. Images are stills pulled from playing back the compromised file in Quicktime 7 Pro. Playback artifacts are highly dependent on the way in which the timeline is scrubbed.
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Forest for the Trees (Series)
HD video shot while driving through the Rocky Mountain National Park was databent in Audacity. Quicktime 7 Pro playback artifacts are animated to produce the following GIF.
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Forest for the Trees (Series)
HD video shot while driving through the Rocky Mountain National Park was databent in Audacity. Quicktime 7 Pro playback artifacts are animated to produce the following GIF.
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Forest for the Trees (Series)
HD video shot while driving through the Rocky Mountain National Park was databent in Audacity. Quicktime 7 Pro playback artifacts are animated to produce the following GIF.
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Forest for the Trees (Series)
HD video shot while driving through the Rocky Mountain National Park was databent in Audacity. Quicktime 7 Pro playback artifacts are animated to produce the following GIF.
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DCP_1963 through DCP_1972
Animation created using sequential still images taken with a prepared (intentionally and methodically short circuited) Kodak DC3400 digital camera.
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Top to Bottom, Left to Right Series
Created using a prepared (intentionally short circuited) 35mm film negative/slide scanner.
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Pseudo Random - Dynamic Static
Created from noisy frames captured by a prepared Kodak DC280 2-Megapixel digital camera.