research-article

BalOnSe: Ballet Ontology for Annotating and Searching Video performances

Authors:

Katerina El Raheb,

Nicolas Papapetrou,

Vivi Katifori,

Yannis IoannidisAuthors Info & Claims

MOCO '16: Proceedings of the 3rd International Symposium on Movement and Computing

Article No.: 5, Pages 1 - 8

https://doi.org/10.1145/2948910.2948926

Published: 05 July 2016 Publication History

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Abstract

In this paper we present BalOnSe (named after the ballet step balance), an ontology-based web interface that allows the user to annotate classical ballet videos, with a hierarchical domain specific vocabulary and provides an archival system for videos of dance. The interface integrates a hierarchical vocabulary based on classical ballet syllabus terminology (Ballet.owl) implemented as an OWL-2 ontology. BalOnSe supports the search and browsing of the multimedia content using metadata (title, dancer featured, etc.), and also implements the functionality of "searching by movement concepts", i.e., filtering the videos that are associated with particular required terms of the vocabulary, based on previous submitted annotations. In the paper, we present the ballet.owl ontology, and its structure, explaining the conceptual modeling decisions. We highlight the main functionality of the system and finally, we present how the manual ontology guided annotation allows the user to search the content through the vocabularies and also view statistics in the form of tag clouds.

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Cited By

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Hassan SDe Lacerda Pataca CNourian LTigwell GDavis BSilver Wagman W(2024)Designing and Evaluating an Advanced Dance Video Comprehension Tool with In-situ Move Identification CapabilitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642710(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642710
Stacchio LGarzarella SCascarano PDe Filippo ACervellati EMarfia G(2024)DanXe: an Extended Artificial Intelligence Framework to Analyze and Promote Dance HeritageDigital Applications in Archaeology and Cultural Heritage10.1016/j.daach.2024.e00343(e00343)Online publication date: May-2024
https://doi.org/10.1016/j.daach.2024.e00343
Bhuyan HDas PTewari V(2024)Automatic Bharatanatyam Dance Video Annotation Tool Using CNNComputer Vision and Image Processing10.1007/978-3-031-58181-6_43(512-522)Online publication date: 3-Jul-2024
https://doi.org/10.1007/978-3-031-58181-6_43
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Index Terms

BalOnSe: Ballet Ontology for Annotating and Searching Video performances
1. Applied computing
  1. Arts and humanities
    1. Sound and music computing

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Published In

MOCO '16: Proceedings of the 3rd International Symposium on Movement and Computing

July 2016

300 pages

ISBN:9781450343077

DOI:10.1145/2948910

Conference Chair:
Sotiris Manitsaris

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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University of Macedonia
Aristotle University of Thessaloniki
Université Paris 8: Université Paris 8

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 July 2016

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MOCO'16

MOCO'16: 3rd International Symposium on Movement and Computing

July 5 - 6, 2016

GA, Thessaloniki, Greece

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Overall Acceptance Rate 85 of 185 submissions, 46%

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Cited By

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Hassan SDe Lacerda Pataca CNourian LTigwell GDavis BSilver Wagman W(2024)Designing and Evaluating an Advanced Dance Video Comprehension Tool with In-situ Move Identification CapabilitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642710(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642710
Stacchio LGarzarella SCascarano PDe Filippo ACervellati EMarfia G(2024)DanXe: an Extended Artificial Intelligence Framework to Analyze and Promote Dance HeritageDigital Applications in Archaeology and Cultural Heritage10.1016/j.daach.2024.e00343(e00343)Online publication date: May-2024
https://doi.org/10.1016/j.daach.2024.e00343
Bhuyan HDas PTewari V(2024)Automatic Bharatanatyam Dance Video Annotation Tool Using CNNComputer Vision and Image Processing10.1007/978-3-031-58181-6_43(512-522)Online publication date: 3-Jul-2024
https://doi.org/10.1007/978-3-031-58181-6_43
Adamou APicca DHou YLoreto Granados-García P(2023)The Facets of Intangible Heritage in Southern Chinese Martial Arts: Applying a Knowledge-driven Cultural Contact Detection ApproachJournal on Computing and Cultural Heritage 10.1145/360670216:3(1-27)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.1145/3606702
Reshma MKannan BJagathy Raj VShailesh S(2023)Cultural heritage preservation through dance digitization: A reviewDigital Applications in Archaeology and Cultural Heritage10.1016/j.daach.2023.e0025728(e00257)Online publication date: Mar-2023
https://doi.org/10.1016/j.daach.2023.e00257
Kang JKang CYoon JJi HLi TMoon HKo MHan J(2023)Dancing on the inside: A qualitative study on online dance learning with teacher-AI cooperationEducation and Information Technologies10.1007/s10639-023-11649-028:9(12111-12141)Online publication date: 4-Mar-2023
https://doi.org/10.1007/s10639-023-11649-0
Paul SSaha RPadhi SMajumdar SDas PRao K(2022)NrityaManch: An Annotation and Retrieval System for Bharatanatyam DanceProceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/3574318.3574338(65-73)Online publication date: 9-Dec-2022
https://dl.acm.org/doi/10.1145/3574318.3574338
Napier EGray GOore S(2022)Spectral Analysis for Dance Movement Query and InterpolationProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3537995(1-7)Online publication date: 22-Jun-2022
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Rajko J(2022)Geocultural Precarities in Canonizing Computing Research Involving DanceProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3537988(1-14)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3537972.3537988
El Raheb KBuccoli MZanoni MKatifori AKasomoulis ASarti AIoannidis Y(2022)Towards a general framework for the annotation of dance motion sequencesMultimedia Tools and Applications10.1007/s11042-022-12602-y82:3(3363-3395)Online publication date: 4-Jul-2022
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