And here are some sample images from the trailer chosen by the brand new Randomizer '010™ software, featuring ArbitraryBoost vX.





A blogtacular blog filled with words, images, and whipped cream on top. Written by Todd Vaziri.





The obvious response from someone who hasn't followed our work on the Predictinator is, "well, of course 'Avatar' won this category. It was a shoo-in." Well, maybe it was, but it illustrated that The VFX Predictinator works.
From the Visual Effects Society:
Having an Oscar party this weekend? Want to liven things up with a pool? If so, use this ballot I created for my Oscar party.
However, I cannot say the same for acting categories, writing or directing, or even cinematography and editing. There is no way to predict the randomness of a breakthrough performance or a particular film. I mean, Marisa Tomei won an Oscar for a Joe Pesci comedy. Who could have predicted that? And a non-winning "American Idol" contestant (Jennifer Hudson) won an Oscar for "Dreamgirls" in her very first film performance. What quantifiable data could possibly support that prediction? On the same wavelength, who could have predicted the awards success of 2004's "Crash," directed by Paul Haggis? Certainly when a filmmaker like Eastwood, Spielberg or Scorsese is in the running, their quantifiable chances certainly improve, since they have a significant body of work that can be numerically tracked (for acclaim, box office, etc). There simply exist far too many chances for breakthrough Academy Award victories, which makes numerically predicting them virtually impossible.
As you can see, "Avatar" ended up with a Predictinator score of 8.03, with "District 9" geetting 6.36, and "Star Trek" earning 4.61.
"District 9" puts up a good fight against "Avatar" on two significant fronts, since the films both shared organic characters as their primary visual effects, and both featured facial acting amongst those characters. But the other important criteria gives "Avatar" a Predictinator-predicted victory.