by Adam Rokhsar
Features live video processing, pitch tracking, bitcrushing and downsampling audio signal as well as FFT data, and glitch work.
Archive for March, 2009
CONNECTED
Saturday, March 21st, 2009An hour to kill in Austin
Tuesday, March 17th, 2009Ontology
Tuesday, March 17th, 2009video and processing by Adam Rokhsar
This piece uses pitch detection to control granular synthesis parameters, and Fast Fourier Transform to extract amplitude data, which is downsampled and “bit-crushed” before the voice is re-synthesized.
The video effect is based on edge detection, using the light from the monitor to create a kind of feedback loop, and motion detection.
The Recovery: two videos!
Saturday, March 14th, 2009The Recovery is: PJ Brindisi, Miguel Padro, Adam Rokhsar, Jamil Zaki
DANCE X [bodyfeel mix]
Thursday, March 12th, 2009DANCE X
by Adam Rokhsar
Made in Max/MSP, Reason and Protools. I continue to develop this piece, which is yet unfinished. Video coming soon.
signal music
Wednesday, March 11th, 2009This is a demo of some audio processing techniques I’ve developed using Max/MSP and Protools. Synthesis, sampling, spectral mangling, bit crushing, and many other approaches are employed.
mew [tribalglitch remix]
Friday, March 6th, 2009mew
by Adam Rokhsar
watch it performed April 3rd at Penn State.
Mew is working mostly in realtime, using computer vision algorithms to track my face, which is processed separately from the rest of the image. Additionally motion tracking data is mapped to a hidden 3D mesh covering the screen, so that when I move the parts of screen that contain the most light appear to pop out along the z-axis.
I analyze the audio signal and extract its brightness level, which is then used to control video processing and cut timing. Some of the visual debris or “glitches” were made using a hex editor and changing the file by hand. In the future I plan on implementing algorithms to do this for me.
The song was made in Max/MSP, Reason, and Protools.
Computer Vision [ghostface test]
Monday, March 2nd, 2009This is a quick demo of some preliminary tests of using face and motion tracking. Here the music controls scaling along the z-axis, and my face is being detected, removed, altered, and replaced back into the original video. Feedback and the operation joining the processed face with the original video are mostly responsible for effects. Last part is the best, I think.