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

共 50 条

[41] IT Solutions for Big Data Processing and Analysis in the Finance and Banking Sectors
Ceaparu, Catalin
INTELLIGENT METHODS IN COMPUTING, COMMUNICATIONS AND CONTROL, 2021, 1243 : 133 - 144
[42] Natural Action Processing Conversation Analysis and Big Interactional Data
Housley, William
Albert, Saul
Stokoe, Elizabeth
HALFWAY TO THE FUTURE SYMPOSIUM (HTTF 2019), 2019,
[43] Analysis of Processing Technology for Computer Information in Big Data Era
Huang Guoli
INTERNATIONAL SYMPOSIUM 2017 - MECHANICAL AND ELECTRONICAL SYSTEMS AND CONTROL ENGINEERING, 2017, : 89 - 92
[44] Guest Editorial: The Parallel Storage, Processing and Analysis for Big Data
Li, Maozhen
Tang, Zhuo
INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 2017, 45 (04) : 731 - 733
[45] An Exploration of the Application of Principal Component Analysis in Big Data Processing
Li G.
Qin Y.
Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
[46] Road Traffic Big Data Collision Analysis Processing Framework
Chung, Duckwon
Rui, Xuhua
Min, Dugki
Yeo, Hwasoo
2013 7TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT), 2013, : 87 - 90
[47] Guest Editorial: The Parallel Storage, Processing and Analysis for Big Data
Maozhen Li
Zhuo Tang
International Journal of Parallel Programming, 2017, 45 : 731 - 733
[48] Big Data Processing with Probabilistic Latent Semantic Analysis on MapReduce
Zhao, Yong
Chen, Yao
Liang, Zhao
Yuan, Shuangshuang
Li, Youfu
2014 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC), 2014, : 162 - 166
[49] Signal Processing for Big Data
Giannakis, Georgios B.
2014 SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA), 2014, : 9 - 9
[50] Semantic Processing on Big Data
Qu, ZhenXin
ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 2, 2011, 129 : 43 - 48

← 1 2 3 4 5 →