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IMPART: Big media data processing and analysis for film production

IMPART: Big media data processing and analysis for film production
IMPART: Big media data processing and analysis for film production
A typical high-end film production generates several terabytes of data per day, either as footage from multiple cameras or as background information regarding the set (laser scans, spherical captures, etc). The EU project IMPART (impart.upf.edu) has been researching solutions that improve the integration and understanding of the quality of the multiple data sources to support creative decisions onset or near it, and an enhanced post-production as well. The main results covered in this paper are: a public multisource production dataset made available for research purposes, monitoring and quality assurance of multicamera set-ups, multisource registration, anthropocentric visual analysis for semantic content annotation, acceleration of 3D reconstruction, and integrated 2D-3D web visualization tools. © 2015 IEEE.
Data handling, Data visualization, Modal analysis, Quality assurance, Semantic Web, Semantics, Three dimensional computer graphics, Visualization, 3D reconstruction, 3D Visualization, Background information, Data processing and analysis, Multi-modal data, Multiple cameras, Multiple data sources, Web visualization, Quality control
1-5
Blat, J.
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Evans, A.
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Agenjo, J.
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Kim, H.
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Imre, E.
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Hilton, Adrian
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Tefas, A.
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Nikolaidis, N.
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Pitas, I.
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Polok, L.
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Smrz, P.
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Zemcik, P.
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Blat, J.
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Evans, A.
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Agenjo, J.
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Kim, H.
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Imre, E.
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Hilton, Adrian
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Tefas, A.
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Nikolaidis, N.
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Pitas, I.
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Polok, L.
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Smrz, P.
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Zemcik, P.
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Blat, J., Evans, A., Agenjo, J., Kim, H., Imre, E., Hilton, Adrian, Tefas, A., Nikolaidis, N., Pitas, I., Polok, L., Smrz, P. and Zemcik, P. (2015) IMPART: Big media data processing and analysis for film production. 2009 IEEE International Conference on Multimedia and Expo Workshops, Italy. 29 Jun - 03 Jul 2015. pp. 1-5 . (doi:10.1109/ICMEW.2015.7169822).

Record type: Conference or Workshop Item (Paper)

Abstract

A typical high-end film production generates several terabytes of data per day, either as footage from multiple cameras or as background information regarding the set (laser scans, spherical captures, etc). The EU project IMPART (impart.upf.edu) has been researching solutions that improve the integration and understanding of the quality of the multiple data sources to support creative decisions onset or near it, and an enhanced post-production as well. The main results covered in this paper are: a public multisource production dataset made available for research purposes, monitoring and quality assurance of multicamera set-ups, multisource registration, anthropocentric visual analysis for semantic content annotation, acceleration of 3D reconstruction, and integrated 2D-3D web visualization tools. © 2015 IEEE.

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More information

e-pub ahead of print date: 29 June 2015
Venue - Dates: 2009 IEEE International Conference on Multimedia and Expo Workshops, Italy, 2015-06-29 - 2015-07-03
Keywords: Data handling, Data visualization, Modal analysis, Quality assurance, Semantic Web, Semantics, Three dimensional computer graphics, Visualization, 3D reconstruction, 3D Visualization, Background information, Data processing and analysis, Multi-modal data, Multiple cameras, Multiple data sources, Web visualization, Quality control

Identifiers

Local EPrints ID: 440587
URI: http://eprints.soton.ac.uk/id/eprint/440587
PURE UUID: b043f7dd-701c-44e4-a209-d930983740f5
ORCID for H. Kim: ORCID iD orcid.org/0000-0003-4907-0491

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Date deposited: 07 May 2020 16:38
Last modified: 23 May 2020 00:47

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Contributors

Author: J. Blat
Author: A. Evans
Author: J. Agenjo
Author: H. Kim ORCID iD
Author: E. Imre
Author: Adrian Hilton
Author: A. Tefas
Author: N. Nikolaidis
Author: I. Pitas
Author: L. Polok
Author: P. Smrz
Author: P. Zemcik

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