TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies

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dc.identifier.uri http://dx.doi.org/10.15488/17056
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/17184
dc.contributor.author Springstein, Matthias
dc.contributor.author Stamatakis, Markos
dc.contributor.author Plank, Margret
dc.contributor.author Sittel, Julian
dc.contributor.author Mauer, Roman
dc.contributor.author Bulgakowa, Oksana
dc.contributor.author Ewerth, Ralph
dc.contributor.author Müller-Budack, Eric
dc.date.accessioned 2024-04-15T12:33:05Z
dc.date.available 2024-04-15T12:33:05Z
dc.date.issued 2023
dc.identifier.citation Springstein, M.; Stamatakis, M.; Plank, M.; Sittel, J.; Mauer, R. et al.: TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies. In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY : Association for Computing Machinery, 2023, S. 3195-3199. DOI: https://doi.org/10.1145/3539618.3591820
dc.description.abstract Video analysis platforms that integrate automatic solutions for multimedia and information retrieval enable various applications in many disciplines including film and media studies, communication science, and education. However, current platforms for video analysis either focus on manual annotations or include only a few tools for automatic content analysis. In this paper, we present a novel web-based video analysis platform called TIB AV-Analytics (TIB-AV-A). Unlike previous platforms, TIB-AV-A integrates state-of-the-art approaches in the fields of computer vision, audio analysis, and natural language processing for many relevant video analysis tasks. To facilitate future extensions and to ensure interoperability with existing tools, the video analysis approaches are implemented in a plugin structure with appropriate interfaces and import-export functions. TIB-AV-A leverages modern web technologies to provide users with a responsive and interactive web interface that enables manual annotation and provides access to powerful deep learning tools without a requirement for specific hardware dependencies. Source code and demo are publicly available at: https://service.tib.eu/tibava. eng
dc.language.iso eng
dc.publisher New York, NY : Association for Computing Machinery
dc.relation.ispartof Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject audio analysis eng
dc.subject computer vision eng
dc.subject multimedia indexing eng
dc.subject multimodal video analysis platform eng
dc.subject natural language processing eng
dc.subject.classification Konferenzschrift ger
dc.title TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies eng
dc.type BookPart
dc.type Text
dc.relation.isbn 978-1-4503-9408-6
dc.relation.doi https://doi.org/10.1145/3539618.3591820
dc.bibliographicCitation.firstPage 3195
dc.bibliographicCitation.lastPage 3199
dc.description.version publishedVersion eng
tib.accessRights frei zug�nglich


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