Category Archives: Digital ET

The Lone Ranger: the best VFX you never noticed?

Good article on the VFX that cannot be easily spotted and what it took to creat them. Complete article here

Here are a few excerpts:

  •  ..the best part of the movie may be the one that most critics never noticed – or rather, never noticed had been created by human hands. Industrial Light & Magic contributed 375 visual effects shots to The Lone Ranger, almost all of them invisible, including photorealistic trains and environments.
  • Although based on live background plates, Gore Verbinski directed ILM to make its digital environments “bigger and bolder” than reality, heightening the chase sequences’ sense of speed and drama.
  • We did most of the asset build in 3ds Max, but it could be in ZBrush [or other packages] if we needed it; there were a variety of approaches. The texturing is a mix of photographic work and hand painting. There are certain shots that are more matte painter-ish and you need a matte painter’s eye to pull everything together, but we had terrific photo reference, and that keeps you honest.

 The work I’m most proud of is probably going to be the work that people never recognise, and that’s because it’s invisible. I had people stopping me in the hall to say that they didn’t realise that the environments were CG until they happened to see the plates.

 

 

Ubisoft, Sony to Produce Movie Based on ‘Watch Dogs’ Game with New Regency

 

“Watch Dogs” revolves around a brilliant hacker bent on revenge and inflicting his own brand of justice after a violent family tragedy. In the game, he hacks into Chicago’s Central Operating System, which controls the city’s infrastructure, including security cameras, traffic lights, and public transportation, as well as databases containing key information on the city’s residents and turns the city into his weapon.

The “Watch Dogs” game bows Nov. 19.

More at Variety.com

Click here for Watchdogs official Site

The Science Behind the Netflix Algorithms That Decide What You’ll Watch Next

Almost everything we do is a recommendation. I was at eBay last week, and they told me that 90 percent of what people buy there comes from search. We’re the opposite. Recommendation is huge, and our search feature is what people do when we’re not able to show them what to watch.

We know what you played, searched for, or rated, as well as the time, date, and device. We even track user interactions such as browsing or scrolling behavior. All that data is fed into several algorithms, each optimized for a different purpose. In a broad sense, most of our algorithms are based on the assumption that similar viewing patterns represent similar user tastes. We can use the behavior of similar users to infer your preferences.

More at Wired.com