research-article

Semantic analysis of human movements in videos

Authors:

Saïd Mahmoudi,

Pierre MannebackAuthors Info & Claims

I-SEMANTICS '12: Proceedings of the 8th International Conference on Semantic Systems

Pages 141 - 148

https://doi.org/10.1145/2362499.2362519

Published: 05 September 2012 Publication History

Abstract

Segmentation and representation of movements in videos play an important role in different applications such as search engines, video recommender systems, and video summarizers. In this paper, we present a system for semantic annotation of movements in video. This system is based on the temporal segmentation method that extracts the movement objects in still scenes, and on the high-level movement concepts to bridge the semantic gap between such concepts and the low-level video features. We propose a knowledge-based Model of movements in videos by using the OWL ontology and SWRL rules. Our Video Movement Ontology (VMO) considers different concepts related to the relevant movement features, which is based on the semantic of the Benesh Movement Notation (BMN). BMN can describe any form of dance or human movement. Rules in description logic are defined to describe how low-level features and mapping process between those features and ontology's concepts should be applied according to different perception of video content analysis. This system can improve the quality of annotation of movements in the videos and can discover the hidden information by reasoning video knowledge and movement's features.

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Cited By

Ibrahim EZaghden NMejdoub M(2024)Semantic Analysis System to Recognize Moving Objects by Using a Deep Learning ModelIEEE Access10.1109/ACCESS.2024.341089412(80740-80753)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3410894
Ibrahim EMejdoub MZaghden N(2022)Semantic Analysis of Moving Objects in Video SequencesProceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems10.1007/978-3-031-20429-6_25(257-269)Online publication date: 13-Dec-2022
https://doi.org/10.1007/978-3-031-20429-6_25
Kanak A(2018)Biometric ontology for semantic biometric‐as‐a‐service (BaaS) applications: a border security use caseIET Biometrics10.1049/iet-bmt.2018.50677:6(510-518)Online publication date: 10-Oct-2018
https://doi.org/10.1049/iet-bmt.2018.5067
Show More Cited By

Semantic analysis of human movements in videos
1. Computing methodologies
  1. Artificial intelligence

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Published In

cover image ACM Other conferences

I-SEMANTICS '12: Proceedings of the 8th International Conference on Semantic Systems

September 2012

215 pages

ISBN:9781450311120

DOI:10.1145/2362499

Editors:
Harald Sack
Hasso-Plattner-Institut für Softwaresystemtechnik GmbH
,
Tassilo Pellegrini
University of Applied Sciences St. Pölten
,
Program Chairs:
Valentina Presutti
Institute for Cognitive Science and Technology, Rome - Italy
,
H. Sofia Pinto
Technical University of Lisbon - Portugal

Copyright © 2012 ACM.

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 ACM 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 September 2012

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I-SEMANTICS '12

I-SEMANTICS '12: I-SEMANTICS 2012 - 8th International Conference on Semantic Systems

September 5 - 7, 2012

Graz, Austria

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Cited By

Ibrahim EZaghden NMejdoub M(2024)Semantic Analysis System to Recognize Moving Objects by Using a Deep Learning ModelIEEE Access10.1109/ACCESS.2024.341089412(80740-80753)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3410894
Ibrahim EMejdoub MZaghden N(2022)Semantic Analysis of Moving Objects in Video SequencesProceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems10.1007/978-3-031-20429-6_25(257-269)Online publication date: 13-Dec-2022
https://doi.org/10.1007/978-3-031-20429-6_25
Kanak A(2018)Biometric ontology for semantic biometric‐as‐a‐service (BaaS) applications: a border security use caseIET Biometrics10.1049/iet-bmt.2018.50677:6(510-518)Online publication date: 10-Oct-2018
https://doi.org/10.1049/iet-bmt.2018.5067
Luca RBejinariu STeodorescu H(2014)An ontology of human walk for autonomous systems2014 18th International Conference on System Theory, Control and Computing (ICSTCC)10.1109/ICSTCC.2014.6982464(488-493)Online publication date: Oct-2014
https://doi.org/10.1109/ICSTCC.2014.6982464

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