TY - GEN
T1 - Capturing the intangible
T2 - 9th International Conference on Computer Vision Theory and Applications, VISAPP 2014
AU - Dimitropoulos, Kosmas
AU - Manitsaris, Sotiris
AU - Tsalakanidou, Filareti
AU - Nikolopoulos, Spiros
AU - Denby, Bruce
AU - Kork, Samer Al
AU - Crevier-Buchman, Lise
AU - Pillot-Loiseau, Claire
AU - Adda-Decker, Martine
AU - Dupont, Stephane
AU - Tilmanne, Joelle
AU - Ott, Michela
AU - Alivizatou, Marilena
AU - Yilmaz, Erdal
AU - Hadjileontiadis, Leontios
AU - Charisis, Vassilios
AU - Deroo, Olivier
AU - Manitsaris, Athanasios
AU - Kompatsiaris, Ioannis
AU - Grammalidis, Nikos
PY - 2014
Y1 - 2014
N2 - Cultural expression is not limited to architecture, monuments or collections of artifacts. It also includes fragile intangible live expressions, which involve knowledge and skills such as music, dance, singing, theatre, human skills and craftsmanship. These manifestations of human intelligence and creativeness constitute our Intangible Cultural Heritage (ICH), a basic factor of local cultural identity and a guaranty for sustainable development. In this paper, we briefly introduce the i-Treasures research project, which aims at developing an open and extendable platform to provide access to ICH resources, enable knowledge exchange and contribute to the transmission of rare know-how. The project goes beyond digitization of cultural content; it creates new knowledge that has never been analysed or studied before through novel methodologies for the analysis and modelling of ICH based on multisensory technology. High-level semantics are extracted enabling researchers to identify possible implicit or hidden correlations between different ICH expressions or interpretation styles and study the evolution of a specific ICH. Four different ICH cases are studied: traditional songs, dance interactions, pottery and contemporary music composition Combining conventional learning procedures and sensorimotor learning through an interactive 3D environment, i-Treasures breaks new ground in education and knowledge transfer of ICH.
AB - Cultural expression is not limited to architecture, monuments or collections of artifacts. It also includes fragile intangible live expressions, which involve knowledge and skills such as music, dance, singing, theatre, human skills and craftsmanship. These manifestations of human intelligence and creativeness constitute our Intangible Cultural Heritage (ICH), a basic factor of local cultural identity and a guaranty for sustainable development. In this paper, we briefly introduce the i-Treasures research project, which aims at developing an open and extendable platform to provide access to ICH resources, enable knowledge exchange and contribute to the transmission of rare know-how. The project goes beyond digitization of cultural content; it creates new knowledge that has never been analysed or studied before through novel methodologies for the analysis and modelling of ICH based on multisensory technology. High-level semantics are extracted enabling researchers to identify possible implicit or hidden correlations between different ICH expressions or interpretation styles and study the evolution of a specific ICH. Four different ICH cases are studied: traditional songs, dance interactions, pottery and contemporary music composition Combining conventional learning procedures and sensorimotor learning through an interactive 3D environment, i-Treasures breaks new ground in education and knowledge transfer of ICH.
KW - Intangible Cultural Heritage
KW - Multisensory Capturing and Analysis
KW - Semantic Media Interpretation
KW - Sensorimotor Learning
KW - Transmission and Preservation
UR - http://www.scopus.com/inward/record.url?scp=84906916649&partnerID=8YFLogxK
U2 - 10.5220/0004871607730781
DO - 10.5220/0004871607730781
M3 - Conference contribution
AN - SCOPUS:84906916649
SN - 9789897580048
T3 - VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
SP - 773
EP - 781
BT - VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
Y2 - 5 January 2014 through 8 January 2014
ER -