Query Answering from Traditional Dance Videos: Case Study of Zapin Dances

Abstract

The aim of this paper is to highlight two important issues related to the annotation and querying of Intangible Cultural Heritage video datasets. First, we focus on ontology completion by annotating dance videos. In order to build video training sets and to enrich the proposed ontology, manual video annotation is performed based on background knowledge formalized in an ontology, representing a semantics of a traditional dance. The paper provides a case study on Malaysian Zapin dances. Second, we address the question of how can end-users efficiently query the datasets of annotated videos that are built.

An Ontology-based Approach for Building and Querying ICH Video Datasets

“…To the best of our knowledge, there have been no studies dealing with an ontologybased modelling of Tamia đwa buk dances. In [Belabbes et al, 2019], very early steps were taken into the investigation of query answering from annotated videos of traditional Malaysian dances. The originality of the present work compared to the existing literature lies in the provision of query answering strategies that take into account conflicts and various reliability levels of the information to rank-order query answers.…”