_skins-1976.jpg "Skins (1976) from magenta color images Video Screenshot Preview")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
⏲ Duration: 4 min 54 sec
✓ Published: 23-Sep-2014
✓ Published: 23-Sep-2014
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_halftone-effects-for-after-effects.webp "The Halftone Effects template for After Effects converts your footage or photos into a retro halftone-print animation. It’s great for imitating the look of an old newspaper or comic book, or for giving an footage some artistic or retro flare! Learn more at http://creationeffects.com/halftone-effects.html.nnIncluded are three unique, custom halftone looks –n• CMYK - Image is made up of a grid of Cyan, Magenta, Yellow, and Black dotsn• Dots - Images is made of a grid of uni")
_12hrs-of-solid-neon-purple.webp "WouldYouLookAtThat")
_magenta-screen-124-a-screen-of-pure-magenta-for-10-hours-124-background-124-backdrop-124-screensaver-124-hd-124124.webp "Pictures of stuff for 10 hours")
Magenta Screen | A Screen Of Pure Magenta For 10 Hours | Background | Backdrop | Screensaver | HD ||
⏲ 10 hours 1 minute 11 seconds 👁 857.6K
_nikon-d800e-short-feature-tizi.webp "Shots from a short film filmed with Nikon D800E. What you see is ungraded footage as it came out of the camera. It was all shot with the camera set on DX sensor size, at ISO 800, shutter speed 1/50, f2.8 - f4.0. I used a neutral profile with the sharpening to 3, contrast to -2, saturation to -2, and hue to 0. Color temperature also set to custom 3300k and -2 on green to magenta axis because I used tungsten lights and wanted to make them feel a little warmer. nYou can see more images behind the s")
_c-m-y-process-2016-yuji-hamada.webp "”C M Y” process 2016 Yuji HAMADA from magenta color images")
_voxelized-bear.webp "The results for the single object semantic segmentation were taken from the 2016 DAVIS challenge: https://davischallenge.org/davis2016/code.html. Out of the 16 available techniques (semi-supervised and supervised), I used the BVS (Bilateral Space Video Segmentation) method. Although the error comparison suggests that there are other methods yielding better segmentation, I found this one to be most consistent across frames. Some segmentation techniques start off better, but fade out after several")
_movie-s6.webp "Movie S6: Time-series is of maximum intensity projections of images from a larval zebrafish, initially colonized at 4 dpf with Aeromonas (magenta), challenged 24 hr later by inoculation with Vibrio (cyan), and then imaged every 20 min for 14 hr. Times indicate hours post-challenge. The region shown spans about 80% of the intestine, with the anterior on the left. Image contrast in both color channels is enhanced for clarity. Yellow dotted line roughly indicates the lumenal boundary of the intesti")
_chromatic-suite-prelude.webp "Inspired by Dan Rubin's infrared and other photographs combined with David Witten's piano recordings of compositions by Mario Castelnuovo-Tedesco, this story developed from my desire to dance inside the images.nnI created character masks and wore clothing designed by Alicia Mugetti.nn")
_halftone-effects-for-after-effects.jpg)
_12hrs-of-solid-neon-purple.jpg)
_magenta-screen-124-a-screen-of-pure-magenta-for-10-hours-124-background-124-backdrop-124-screensaver-124-hd-124124.jpg)
_nikon-d800e-short-feature-tizi.jpg)
_c-m-y-process-2016-yuji-hamada.jpg)
_voxelized-bear.jpg)
_movie-s6.jpg)
_chromatic-suite-prelude.jpg)
![[+]](/images/menu.gif){kind=small}