
O'Hare Ambient Lapse
3 years ago
My flight out of Chicago was delayed so I mounted the webcam and did an ambient lapse of O'Hare's Terminal 3.
I think some of the most interesting visual features are the consonant and dissonant movement of the crowds, the columns and lines across the ground, the flags, and various reflective surfaces.
Around 1:13 I ran into a cute girl with big headphones and followed her from a distance until 1:38 where I lost her. Somewhere near the end I found her again, she was leaving from gate K2 to who knows where, and my plane was about to leave.
I didn't have a microphone, so I chose a more ambient track that sounded something like the movement looked ("Ahuvati" by Kaki King). In retrospect, I'm most interested in the unintended connections that emerged between the audio and visuals. 1:38 is the only point I synced on purpose, but there a lot of other moments implied.
I'd like to write something that can analyze video for rhythm and harmony the same way we analyze audio. It would be a great tool for transcoding audio to video in the manner of Michel Gondry's "Star Guitar" video or Norman McLaren's "Begone Dull Care". Or, perhaps better, transcoding video into audio?
I think some of the most interesting visual features are the consonant and dissonant movement of the crowds, the columns and lines across the ground, the flags, and various reflective surfaces.
Around 1:13 I ran into a cute girl with big headphones and followed her from a distance until 1:38 where I lost her. Somewhere near the end I found her again, she was leaving from gate K2 to who knows where, and my plane was about to leave.
I didn't have a microphone, so I chose a more ambient track that sounded something like the movement looked ("Ahuvati" by Kaki King). In retrospect, I'm most interested in the unintended connections that emerged between the audio and visuals. 1:38 is the only point I synced on purpose, but there a lot of other moments implied.
I'd like to write something that can analyze video for rhythm and harmony the same way we analyze audio. It would be a great tool for transcoding audio to video in the manner of Michel Gondry's "Star Guitar" video or Norman McLaren's "Begone Dull Care". Or, perhaps better, transcoding video into audio?
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You totally should have ridden one of those carts around too. Or found some people mover belts if that airport has any. I find myself wanting to see other forms of locomotion presented this way, beyond the "walking" form that has been of all clips so far.
Am I mistaken in feeling that this video used a different frame capture algorithm than the other two? It felt slightly "less ambient"... less frames averaged... or less time between the sampled frames? It could just be the difference in the structure of the space that made it feel this way.
Ended on a self portrait?
The "exposure length" is 32 frames instead of 128, and the time between captures is about 3/4 of a second instead of every 1 second -- good eye.
Yes, the camera happened to be pointing at me when I put my backpack down and pulled out my laptop.
I'm going to be doing a lot of traveling soon, I'm hoping to get some trains and whole plane flights. Imagine seeing the whole USA from the air in 5 minutes :)
1) The silhouettes of the backs of heads against a performance of some kind.
2) the camera mounted in a vehicle facing forward with passengers and dash visible, but everything outside the windows time smeared.
I just realized both of those involve relatively stationary cameras. Which I guess is something I haven't seen you upload yet.
vimeo.com/clip:195113
vimeo.com/clip:161058
then i will show you soon :)