IMPART: BIG MEDIA DATA PROCESSING AND ANALYSIS FOR FILM PRODUCTION

被引：0

作者：

Blat, Josep ^{[1
]}

Evans, Alun ^{[1
]}

Agenjo, Javi ^{[1
]}

Kim, Hansung ^{[2
]}

Imre, Evren ^{[2
]}

Hilton, Adrian ^{[2
]}

Tefas, Anastasios ^{[3
]}

Nikolaidis, Nikos ^{[3
]}

Pitas, Ioannis ^{[3
]}

Polok, Lukas ^{[4
]}

Smrz, Pavel ^{[4
]}

Zemcik, Pavel ^{[4
]}

机构：

[1] Univ Pompeu Fabra, Barcelona, Spain

[2] Univ Surrey, Guildford GU2 5XH, Surrey, England

[3] Aristotle Univ Thessaloniki, Thessaloniki, Greece

[4] Brno Univ Technol, Brno, Czech Republic

来源：

2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) | 2015年

关键词：

Multi-modal data processing; big media data analysis; web 3D visualization; WORLD;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：5

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