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NAB Exhibition: DCPs and 3D

The Fraunhofer Institute for Integrated Circuits showed its easyDCP software, which runs on a standard PC or Mac and is designed as a simple system for the creation of Digital Cinema Packages. easyDCP and easyDCP+ (which includes stereoscopic 3D support) is now available. A version with hardware acceleration will be available in the fall.

Fraunhofer also showed its new DCPplayer, a JPEG2000 decoding software that enables real-time playback of 2K DCPs and JPEG2000 image sequences on a standard PC with Nvidia graphic card.

— TD Vision  showed integration of its technology with Magnum Semiconductor encoding chip sets. TD Vision reported it would enable Full HD 3D in real time at a bit rate that fits into a broadcast channel. It supports 1080P/60fps per bit.

–DVS is previewing version 3.0 of its Clipster post system. Scheduled new features include: The ability to create a 3D DCP, 3D timeline editing, and real-time full quality 4K decoding and debayering of Red material.

NICT Shows Research

Japan-based research organization NICT may have been one of the most talked about stands at NAB. The research on display included: 

–A multi-sensory interaction system—for some NAB goers, this was their top demo. The user wears 3D glasses to see a virtual object. In space, one can “touch” the object and hear the object. Suggested future applications include museums and education.

–A floating touch display allowed one to virtually “play a piano.” Suggested apps include smart phone control, without requiring actual touch.

–A glasses free HD 3D display

–Interactive panoramic video technology.

–4K content capture

–A hologram (see separate post)

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Data & Analytics Project

The Storytelling Cipher: Mapping Precise Story and Character Mechanics to Box Office Returns

Our Data & Analytics Project held “The Storytelling Cipher: Mapping Stories & Characters to Box Office Revenue” Tuesday, December 6, 2016 at the USC School of Cinematic Arts.

This study leverages the Dramatic taxonomy of film narrative to infer which scene-level character and story attributes generate more box office returns, by genre. We are extending this study to ads and movie trailers.

The project researchers used machine learning to map 70+ story attributes for 300 films to their box office returns to extract which story mechanics or character features in film generated the most revenue. This was the first time granular story and character mechanics have been used to predict box office returns, which opens up many avenues to make more data-driven creative and development decisions throughout the industry.

What’s a good story? The question has been hanging without a scientific answer since the dawn of man. It seems that a story’s lack of clear mathematical structure and universal taxonomy would relegate such classification of stories to the qualitative – and highly subjective- empire of critics and … people.

Until now.

The event presented results from the research, discussed applications for the development and creative process, and outlined next steps.

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