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Intuitive virtual production tools for set and light editing

Published: 24 November 2015 Publication History

Abstract

This contribution describes a set of newly developed tools for virtual production. Virtual production aims to bring together the creative production aspects into one real-time environment, to overcome the bottlenecks of offline processing in digital content production. This paper introduces tools and an architecture to edit set assets and adjust the lighting set-up. A set of tools was designed, implemented and tested on tablet PCs and one augmented reality and a virtual reality device. These tools are designed to be used on a movie set by staff not necessarily familiar with 3D software. Further, an approach to harmonize light set-ups in virtual and real scenes is introduced. This approach uses an automated image-based light capture process, which models the dominant lights as discrete light sources with fall-off characteristics to give required fine details for close range light set-ups and overcomes limitations of traditional image-based light probes. The paper describes initial results of a user evaluation using the developed tools in production-like environments.

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Cited By

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  • (2019)ARStudioMultimedia Tools and Applications10.1007/s11042-019-08064-4Online publication date: 20-Aug-2019
  • (2017)Dreamspace: A Platform and Tools for Collaborative Virtual ProductionSMPTE Motion Imaging Journal10.5594/JMI.2017.2712358126:6(29-36)Online publication date: Aug-2017
  • (2016)VPETSIGGRAPH ASIA 2016 Technical Briefs10.1145/3005358.3005370(1-4)Online publication date: 28-Nov-2016

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Published In

cover image ACM Other conferences
CVMP '15: Proceedings of the 12th European Conference on Visual Media Production
November 2015
121 pages
ISBN:9781450335607
DOI:10.1145/2824840
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

  • BMVA: British Machine Vision Association and Society for Pattern Recognition
  • Google Inc.
  • NVIDIA
  • CDE: Centre for Digital Entertainment
  • YouTube: YouTube
  • The Foundry: The Foundry Visionmongers Ltd.
  • Autodesk: Autodesk

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2015

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Author Tags

  1. live production
  2. on-set editing tools
  3. virtual production

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  • Research-article

Funding Sources

  • FP7

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CVMP 2015
Sponsor:
  • BMVA
  • CDE
  • YouTube
  • The Foundry
  • Autodesk

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Overall Acceptance Rate 40 of 67 submissions, 60%

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Cited By

View all
  • (2019)ARStudioMultimedia Tools and Applications10.1007/s11042-019-08064-4Online publication date: 20-Aug-2019
  • (2017)Dreamspace: A Platform and Tools for Collaborative Virtual ProductionSMPTE Motion Imaging Journal10.5594/JMI.2017.2712358126:6(29-36)Online publication date: Aug-2017
  • (2016)VPETSIGGRAPH ASIA 2016 Technical Briefs10.1145/3005358.3005370(1-4)Online publication date: 28-Nov-2016

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