An Ontology Web Application-based Annotation Tool for Intangible Culture Heritage Dance Videos

Author:

Lagrue Sylvain1,Chetcuti-Sperandio Nathalie2,Delorme Fabien3,Thi Chau Ma4,Thi Duyen Ngo4,Tabia Karim5,Benferhat Salem5

Affiliation:

1. Université de Technologie de Compiègne, Compiègne, France

2. Artois University, Lens, France

3. CRIL CNRS - UMR 8188, Lens, France

4. Vietnam National University Hanoi, Hanoi, Vietnam

5. Université d'Artois, Lens, France

Funder

European Commission

Publisher

ACM Press

Reference8 articles.

1. Olivier Aubert and Yannick Prié. 2005. Advene: Active Reading through Hypervideo. In Proceedings of ACM Hypertext'05 . 235--244.

2. Ma Thi Chau and Nguyen Thanh Thuy. 2018. A labanatation based ontology for representing Vietnamese folk dances. In In Proceedings of International Conference on Digital Arts, Media and Technology (ICDAMT) .

3. Huma Chaudhry, Karim Tabia, Shafry Abdul Rahim, and Salem BenFerhat. 2017. Automatic annotation of traditional dance data using motion features. 254--258. https://doi.org/10.1109/ICDAMT.2017.7904972

4. M. Kipp. 2014. ANVIL: A Universal Video Research Tool.. In In: J. Durand, U. Gut, G. Kristofferson (Eds.) Handbook of Corpus Phonology, Oxford University Press, Chapter 21, . 420--436.

5. Chau Ma-Thi, Karim Tabia, Sylvain Lagrue, Ha Le-Thanh, Duy Bui-The, and Thuy Nguyen-Thanh. 2017. Annotating Movement Phrases in Vietnamese Folk Dance Videos. In Advances in Artificial Intelligence: From Theory to Practice , , Salem Benferhat, Karim Tabia, and Moonis Ali (Eds.). Springer International Publishing, 3--11.

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