IMPART: Big media data processing and analysis for film production

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU131421" target="_blank" >RIV/00216305:26230/15:PU131421 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/7169822/?arnumber=7169822&tag=1" target="_blank" >http://ieeexplore.ieee.org/document/7169822/?arnumber=7169822&tag=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICMEW.2015.7169822" target="_blank" >10.1109/ICMEW.2015.7169822</a>

Jazyk výsledku

angličtina

Název v původním jazyce

IMPART: Big media data processing and analysis for film production

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

IMPART: Big media data processing and analysis for film production

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/7E13044" target="_blank" >7E13044: IMPART - Intelligent Management Platform for Advanced Real-Time media processes</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE International Conference on Multimedia Expo Workshops (ICMEW)

ISBN

978-1-4799-7079-7

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

NEUVEDEN

Místo vydání

Torino

Místo konání akce

Torino

Datum konání akce

29. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000380531100082