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

Lagrue, Sylvain; Chetcuti-Sperandio, Nathalie; Delorme, Fabien; Thi, Chau Ma; Thi, Duyen Ngo; Tabia, Karim; Benferhat, Salem

doi:10.1145/3347317.3357245

Cited by 7 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We then proposed to enrich our ontology by manually annotating dance videos. A tool for manual annotation of videos, based on ontologies, has been developed [Lagrue et al, 2019] and used in this study. Lastly, we proposed strategies for querying ontologies in the presence of conflicting and prioritized data.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

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

Belabbès

Izza

Mhadhbi

et al. 2020

Proceedings of the 12th International Conference on Agents and Artificial Intelligence

Self Cite

View full text Add to dashboard Cite

The diversity of Southeast Asian Intangible Cultural Heritage (ICH) is showcased in many art forms and notably in traditional dances. We focus on the preservation of Vietnamese ICH by building an ontology for Tamia đwa buk dances. We propose a completion of the ontology by semantically enriching traditional dance videos through manual annotation. Once annotated video datasets are built, we propose strategies for processing user queries. In particular, we address inconsistencies which emerge when the same video receives conflicting annotations from multiple sources. We also take into account different reliability levels of the sources in order to prioritize query answers.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Recently, a tool has been developed for the manual annotation of traditional dance videos [Lagrue et al, 2019]. Domain experts may use such tool to annotate a video by decomposing it into segments (i.e., sets of frames).…”

Section: Introductionmentioning

confidence: 99%

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

Belabbès

Izza

Mhadhbi

et al. 2020

Proceedings of the 12th International Conference on Agents and Artificial Intelligence

Self Cite

View full text Add to dashboard Cite

show abstract

“…These challenges are experienced at a scale with the increase of both the amount of video footage available and the number of learners who use videos for learning. Previous researches have different attempts to address this issue by manually annotation important parts in the videos by teachers or learners [5,12]. To maintain the quality of the annotation some researchers use ontologies [8,17].…”

Section: Problem Addressedmentioning

confidence: 99%

Generating Narratives of Video Segments to Support Learning

Mohammed

2022

Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Track

View full text Add to dashboard Cite

The predominance of using videos for learning has become a phenomenon for generations to come. This leads to a prevalence of videos generating and using open learning platforms (Youtube, MOOC, Khan Academy, etc.). However, learners may not be able to detect the main points in the video and relate them to the domain for study. This can hinder the effectiveness of using videos for learning. To address these challenges, we are aiming to develop automatic ways to generate video narratives to support learning. We presume that the domain for which we are processing the videos has been computationally presented (via ontology). We are proposing a generic framework for segmenting, characterising and aggregating video segments VISC-L which offers the foundation to generate the narratives. The narrative framework designing is in progress which is underpinned with Ausubel's Subsumption theory. All the work is being implemented in two different domains and evaluated with people to test their awareness of the domains-aspects.

show abstract