Publication Details
IMPART: Big media data processing and analysis for film production
Evans Alun (FIT)
Hilton Adrian (FIT)
Imre Evren (FIT)
Kim Hansung (FIT)
Nikolaidis Nikos (FIT)
Pitas Ioannis (FIT)
Polok Lukáš, Ing., Ph.D.
Smrž Pavel, doc. RNDr., Ph.D. (DCGM)
Tefas Anastasios (FIT)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
multi-modal data processing, big media data analysis, web 3D visualization
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.
@inproceedings{BUT155975,
author="Josep {Blat} and Alun {Evans} and Adrian {Hilton} and Evren {Imre} and Hansung {Kim} and Nikos {Nikolaidis} and Ioannis {Pitas} and Lukáš {Polok} and Pavel {Smrž} and Anastasios {Tefas} and Pavel {Zemčík}",
title="IMPART: Big media data processing and analysis for film production",
booktitle="IEEE International Conference on Multimedia Expo Workshops (ICMEW)",
year="2015",
pages="1--5",
address="Torino",
doi="10.1109/ICMEW.2015.7169822",
isbn="978-1-4799-7079-7",
url="http://ieeexplore.ieee.org/document/7169822/?arnumber=7169822&tag=1"
}