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IMPART: BIG MEDIA DATA PROCESSING AND ANALYSIS FOR FILM PRODUCTION

Blat, J, Evans, A, Ajenjo, J, Kim, H, Imre, E and Hilton, A (2015) IMPART: BIG MEDIA DATA PROCESSING AND ANALYSIS FOR FILM PRODUCTION In: ICME, 2015-06-29 - 2015-07-03, Italy.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Blat, JUNSPECIFIEDUNSPECIFIED
Evans, AUNSPECIFIEDUNSPECIFIED
Ajenjo, JUNSPECIFIEDUNSPECIFIED
Kim, HUNSPECIFIEDUNSPECIFIED
Imre, EUNSPECIFIEDUNSPECIFIED
Hilton, AUNSPECIFIEDUNSPECIFIED
Date : 29 June 2015
Identification Number : 10.1109/ICMEW.2015.7169822
Additional Information : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Depositing User : Symplectic Elements
Date Deposited : 29 Sep 2015 10:09
Last Modified : 29 Sep 2015 10:09
URI: http://epubs.surrey.ac.uk/id/eprint/808471

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