Very soon we will know more, but Red has given some more hints about the Scarlet. It will be running Red Code, which means more-than-HD. It will be smaller than the Red One, but "it won't fit into your shirt pocket." And it will cost below 10,000 USD.
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Posted in Camera & Eye, Film, Technology tagged 1st ac, 2k, 4k, adobe, camera assistant, circle of confusion, depth of field, development, focus, focus pull, focus puller, hd, lens, light-field, lightfield, multiple, research, resolution, technology
As a follow-up on my previous post, here is a bit more information about that truly mesmerizing Adobe research project, which proposes to build lenses that act as multiple lenses. This will enable the camera to take multiple pictures at once, shifting the job of setting focus from the Focus ...
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Posted in Camera & Eye, Film, Technology tagged adobe, battery, camera, hype, las vegas, lens, nab, panavision, prediction, RED, red one, scarlet, sony, tapeless, technology
Nab is the yearly major event for anything connected with video/media production. I´ll make some wild(ish) guesses as to what might delect my fellow camera(wo)menSony / PanavisionIt will be exciting to see how the big guys are going to react to the Red One camera. I would hope for an ...
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Over at the Red forum, I found a good table on the weight of all the parts for the Red camera. Good to calculate heads (and how much work-out you should do while waiting for your camera to surface)
And the the RED EVF weighs 2.4 pounds, or 1090 gram.
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While there are some rumors that 3D will be the next big thing in the world of visual media, there are some things that are better in 2D, which is the world most of us cameramen live in. While some may see that as a limitation, I find limitations to ...
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Posted in (Meta)Blogging, Technology tagged cool, meta-blog, outbrain, plug-in, rating, ratings, stars, technology, web 2.0, wordpress
Thanks to Ouriel's very readable blog, I found out about Outbrain, which promises to be a great tool for bloggers of most platforms. Basically it lets users rate your content, and over time it can build a list of recommended article for each and every reader, according to his/her likes ...
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