Customization of 3D content with semantic meta-scenes

Jakub Flotyński , Krzysztof Walczak

Abstract

Customization of interactive three-dimensional content according to consumers requirements is a complex task, as it demands knowledge of such aspects of 3D content as geometry, structure, space, appearance and animation. In this paper, a new method of customizing interactive 3D content is presented. The method leverages semantic web techniques to enable conceptual, generalized representation of 3D content (3D meta-scenes) and on-demand customization of meta-scenes with semantic queries. Query-based content customization with the proposed method can be performed independently by different content consumers at different domain-specific levels of abstraction, with the inference of tacit knowledge. Content customization covers selection of 3D content objects, properties and relations between objects to be presented as well as introduction of new objects, properties and relations. The method has been implemented and evaluated. It significantly improves 3D content customization in comparison to previous approaches.
Author Jakub Flotyński (WIiGE / KTI)
Jakub Flotyński,,
- Department of Information Technology
, Krzysztof Walczak (WIiGE / KTI)
Krzysztof Walczak,,
- Department of Information Technology
Journal seriesGraphical Models, ISSN 1524-0703, (A 25 pkt)
Issue year2016
Vol88
Pages23-39
Publication size in sheets0.8
Keywords in English3D content, Content customization, 3D web, Semantic web
ASJC Classification1704 Computer Graphics and Computer-Aided Design; 1712 Software; 2608 Geometry and Topology; 2611 Modelling and Simulation
DOIDOI:10.1016/j.gmod.2016.07.001
URL https://www.sciencedirect.com/science/article/pii/S1524070316300182
Languageen angielski
Score (nominal)25
Score sourcejournalList
ScoreMinisterial score = 20.0, 19-12-2019, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 19-12-2019, ArticleFromJournal
Publication indicators WoS Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.077; WoS Impact Factor: 2016 = 1.188 (2) - 2016=1.358 (5)
Citation count*15 (2020-06-29)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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