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

Download statistics - Document (COUNTER):

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

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/17056

Selected time period:

year: 
month: 

Sum total of downloads: 3




Thumbnail
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.
License of this version: CC BY 4.0 Unported
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Zentrale Einrichtungen

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of United States United States 1 33.33%
2 image of flag of Germany Germany 1 33.33%
3 image of flag of China China 1 33.33%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse