This compilation of computer vision is really interesting to watch if you imagine seeing it without the source footage behind the computer graphics. I really like the description Kyle McDonald gives in the comments of the aesthetic qualities of computer vision graphics and will add to it myself:
“color choices tend toward high contrast saturated primaries (easy colors to code), almost no text (it’s never descriptive, only enumerative), trails are used to show history, ellipses and rectangle/bounding boxes are used as placeholders for complex shapes…”
Robot readable world from Timo on Vimeo.
Act I: The Spectacle of the Indifferent Gaze
She wants to be wanted. The best impression must be given if this is going to go well. She flips the switch on the mirror to show her flaws. The left eyebrow is tilted three degrees lower than the right. She applies powder to correct it. Her lips are twelve percent thinner than they should be so she drags a coat of plumping cream and three coats of lipstick across them. Her eyes do not have enough contrast so she defines them with shadow, pencils, and mascara. Her nose is slightly too large so she adds more defined cheekbones and rosy cheeks to distract from it as suggested. Her hair naturally parts twenty-five millimeters to the right of where it should, so she corrects it by spraying and drying it into place, forcing it into submission. Now she is ready. She fits the mask.
She steps out of her apartment onto the street, walking with purpose. Her movements will be traced, her face identified and analyzed, and she wants them to see her at her best. She never changes her quick pace. She walks in a perfectly straight line with her head held high. She didn’t do all of that work to not be remembered today. She wants evidence. She wants documentation. And most importantly she wants to gain followers. She is alerted that it is working. She has been chosen. She turns right and begins to run up the stairs.
Click. The view changes quickly. This is the one. This guy is definitely going somewhere good. I’m going to stick with him. I’m walking down the street rapidly. Maybe I am trying to catch the metro. Maybe I am late. I feel like I must do this all the time. I see a tall building up ahead. I hope I’m not going in there. I didn’t come to see the inside of a generic office building. Those look the same everywhere. There’s no way to verify the verisimilitude. Ugh…I’m going in. Yep, it’s the same as every other one. This guy looks like he’s leaving. Click. I’m opening the door to the street. A sharp left. Now I’m running. This is a good one. Maybe I am being chased.? That would be exciting. I wish I could look back and see. It doesn’t look like anyone is there when I alternate to the top down for a second. Okay, I’m slowing down. Dark. Better find a new one quick. Let’s go, let’s go, let’s go. Come on I don’t have all day. There she is. Okay now I am going somewhere. I’m going up the staircase quickly. Now I’m turning around. Back down the staircase. Well that’s a different view at least. Back up the staircase again. And back down. Floating up and down the stairs without bouncing feels nice.
Act II: We are H+
Machine Thinking. Human Understanding.
Thirty seconds. Back and forth, back and forth, back and forth. Beep. Switch sides. Thirty seconds. Back and forth, back and forth, back and forth. Beep. Switch to the top. Thirty seconds. Back and forth, back and forth, back and forth. Beep. Switch sides. Thirty seconds. Back and forth, back and forth, back and forth. Off. Spit.
20 Companies Use Computer-Generated Stories to Save Money on Writers – GalleyCat.
The company Narrative Science uses algorithms and statistics to have a computer generate sports stories, eliminating the need for a journalist to do the job. Since machines can compile data to create objective non-fiction, is it plausible that machines will eventually be able to write their own fictions?