An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts

Truong-Thanh Ma , Salem Benferhat , Zied Bouraoui , Karim Tabia , Thanh-Nghi Do , Nguyen-Khang Pham

In recent year, preservation and promotion of the ICHs are one of the problems of interest. In this paper, we focus on modelling the traditional dance domain, particularly modelling traditional Vietnamese dances. To conserve significant characteristics of dances, we proposed an ontology to represent the significant movements features of Ethnic Vietnamese Thai Dances (EVTDs). Particularly, a detailed description of the movement schemas of EVTDs is presented in this paper. Additionally, we present how to build an automatic extraction tool to collect the fundamental movements data of EVTDs using machine learning. Finally, we represented explicitly how to store those extracted features from raw dance videos into prioritized Ontology-based proposed.

Domains: Computer Science [cs]; Artificial Intelligence [cs.AI]

Truong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Karim Tabia, Thanh-Nghi Do, et al.. An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts. ICMLA 2019 - 18th IEEE International Conference On Machine Learning And Applications, Dec 2019, Boca Raton, Florida, United States. pp.1527-1530, ⟨10.1109/ICMLA.2019.00252⟩. ⟨hal-03299696⟩