Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | SIGIR`23 |
| Untertitel | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Seiten | 3195-3199 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9781450394086 |
| Publikationsstatus | Veröffentlicht - 18 Juli 2023 |
| Veranstaltung | 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023 - Taipei, Taiwan Dauer: 23 Juli 2023 → 27 Juli 2023 |
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Informatik (insg.)
- Information systems
- Informatik (insg.)
- Software
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- BibTex
- RIS
SIGIR`23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2023. S. 3195-3199.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - TIB AV-Analytics
T2 - 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023
AU - Springstein, Matthias
AU - Stamatakis, Markos
AU - Plank, Margret
AU - Sittel, Julian
AU - Mauer, Roman
AU - Bulgakowa, Oksana
AU - Ewerth, Ralph
AU - Müller-Budack, Eric
N1 - Funding Information: This work was funded by the German Research Foundation (DFG) under the project number 442397862. We would like to thank Jim Rhotert and Junaid Ghauri (both TIB – Leibniz Information Centre for Science and Technology) for their help in developing TIB-AV-A.
PY - 2023/7/18
Y1 - 2023/7/18
N2 - 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.
AB - 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.
KW - audio analysis
KW - computer vision
KW - multimedia indexing
KW - multimodal video analysis platform
KW - natural language processing
UR - http://www.scopus.com/inward/record.url?scp=85168671954&partnerID=8YFLogxK
U2 - 10.1145/3539618.3591820
DO - 10.1145/3539618.3591820
M3 - Conference contribution
AN - SCOPUS:85168671954
SP - 3195
EP - 3199
BT - SIGIR`23
Y2 - 23 July 2023 through 27 July 2023
ER -