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Big Data Analysis for Media Production

Blat, J, Evans, A, Kim, H, Imre, H, Polok, L, Ila, V, Nikolaidis, N, Zamcik, P, Tefas, A, Smrz, P , Hilton, A and Pitas, I (2015) Big Data Analysis for Media Production Proceedings of the IEEE, 104 (11). pp. 2085-2113.


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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). This paper presents solutions to improve the integration, and the understanding of the quality, of the multiple data sources, which are used both to support creative decisions on-set (or near it) and enhance the postproduction process. The main contributions 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. Furthermore, this paper presents a toolset for analysis and visualisation of multi-modal media production datasets which enables onset data quality verification and management, thus significantly reducing the risk and time required in production. Some of the basic techniques used for acceleration, clustering and visualization could be applied to much larger classes of big data problems.

Item Type: Article
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Blat, J
Evans, A
Kim, H
Imre, H
Polok, L
Ila, V
Nikolaidis, N
Zamcik, P
Tefas, A
Smrz, P
Hilton, A
Pitas, I
Date : 9 December 2015
DOI : 10.1109/JPROC.2015.2496111
Copyright Disclaimer : © 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 : 21 Sep 2016 15:04
Last Modified : 15 Nov 2016 15:37

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