Ontology-Driven Interactive Visualization of Film Production Complexity Using a Visual Language
Yannis Christodoulou,
Angelos Yannopoulos,
Effie J. Bountris and
Theodora Varvarigou
Additional contact information
Yannis Christodoulou: National Technical University of Athens, Athens, Greece
Angelos Yannopoulos: University of the West of Scotland, Paisley, UK
Effie J. Bountris: National Technical University of Athens, Athens, Greece
Theodora Varvarigou: National Technical University of Athens, Athens, Greece
International Journal on Semantic Web and Information Systems (IJSWIS), 2016, vol. 12, issue 2, 100-122
Abstract:
Early, effective director-producer communication enables detection of resource-demanding film production requirements so that a workable production plan can be formed. Traditional communication tools are limited to articulating standard production elements as lists. Yet, production complexity can be affected by latent variables with indirect impact which remain unarticulated. An ontology-driven, interactive visualization system is proposed for exposing production complexity. The system is built upon a visual language for recording directorial choices, employed for system input. By exploiting Ontologies, the visual input is analyzed in real-time and semantic metadata are extracted representing production complexity with focus on latent variables. The metadata are transformed back into an aggregate visual form which combines with the visual input, creating useful synergies. In this way, the system creates a collaborative virtual workspace facilitating director-producer communications. A real-world deployment and an evaluation demonstrated the system's advantages over traditional tools.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJSWIS.2016040105 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:12:y:2016:i:2:p:100-122
Access Statistics for this article
International Journal on Semantic Web and Information Systems (IJSWIS) is currently edited by Brij Gupta
More articles in International Journal on Semantic Web and Information Systems (IJSWIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().