News Production & Post

Park Road nominated for IBC award for The Hobbit using SGO Mistika

27 June 2013
Park Road nominated for IBC award for The Hobbit using SGO Mistika

Park Road Post Production has received a nomination for an IBC2013 Innovation Award for its work on The Hobbit: An Unexpected Journey. The Peter Jackson blockbuster is the world’s first High Frame Rate Stereoscopic 3D feature film, and was produced using SGO Mistika.

The project has been selected from over 200 entries, as one of the four finalists in the Content Creation category. IBC Innovation Awards are presented to end-users who have brought together a technology partner and collaborator to realise a creative, commercial or technical goal. “This year our shortlist reflects the remarkable breadth of our industry, from a blockbuster movie to the research behind getting the best possible HD quality to the home,” said Michael Lumley, chairman of the Awards judging panel. “We have a remarkably diverse and fascinating shortlist this year, and like everyone I am keenly awaiting the ceremony at IBC and the announcement of the winners.”

The Mistika system was originally explored by Park Road because of its stereoscopic 3D tools. SGO’s development team needed to take programming optimisation to a new level in order to support the needs of an end-to-end HFR-3D production. SGO’s CEO, Miguel Angel Doncel stated “When Park Road approached us to further develop Mistika into a complete HFR-3D post-production hub, our development team were already well on the way to being able to support real-time 48fps playback, as well as render-free real-time processing such as colour correction.”

Park Road’s head of Technology, Phil Oatley said, “The team at Park Road feel very proud that we have been nominated for this significant industry technology award. SGO’s Mistika provided a platform that was flexible and robust, gave us even greater speed than what is normally required for your average 2D 24fps project and was so good that the filmmakers never noticed that we were dealing with four times the data of a normal feature.”

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