Detail výsledku
IMPART: Big media data processing and analysis for film production
Evans Alun
Hilton Adrian
Imre Evren
Kim Hansung
Nikolaidis Nikos
Pitas Ioannis
Polok Lukáš, Ing., Ph.D., UPGM (FIT)
Smrž Pavel, doc. RNDr., Ph.D., UPGM (FIT)
Tefas Anastasios
Zemčík Pavel, prof. Dr. Ing., dr. h. c., UAMT (FEKT), UPGM (FIT)
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.
multi-modal data processing, big media data analysis, web 3D visualization
@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"
}