Publication Details

Methodology for capturing contextual information and preserving and interlinking semantic information for video processing

KLÍMA Ondřej and SMRŽ Pavel. Methodology for capturing contextual information and preserving and interlinking semantic information for video processing. Brno, 2014. Available from: http://scape-project.eu/wp-content/uploads/2014/06/SCAPE_D23.1_BUT_V1.0.pdf
Type
technical report
Language
english
Authors
Klíma Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT)
URL
Annotation

The data centre testbed primarily focuses on processing large-scale data sets in external data centres, particularly in cases when the data centre provider and the owner of processed data are completely different institutions. This separation between interested institutions may lead to risks related to the quality of results of data processing. This deliverable addresses such risks in large-scale video processing; especially in the context of semantic analysis of video content. We propose a methodology to identify risks related to video processing and detail a new approach for minimizing impact of identified risks.

Published
2014
Pages
1-29
Place
Brno, CZ
BibTeX 
@TECHREPORT{FITPUB11691,
   author = "Ond\v{r}ej Kl\'{i}ma and Pavel Smr\v{z}",
   title = "Methodology for capturing contextual information and preserving and interlinking semantic information for video processing",
   pages = "1--29",
   year = 2014,
   location = "Brno, CZ",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11691"
}
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