A Software Toolkit for Pre-processing Sign Language Video Streams

Fabrizio Nunnari


Abstract
We present the requirements, design guidelines, and the software architecture of an open-source toolkit dedicated to the pre-processing of sign language video material. The toolkit is a collection of functions and command-line tools designed to be integrated with build automation systems. Every pre-processing tool is dedicated to standard pre-processing operations (e.g., trimming, cropping, resizing) or feature extraction (e.g., identification of areas of interest, landmark detection) and can be used also as a standalone Python module. The UML diagrams of its architecture are presented together with a few working examples of its usage. The software is freely available with an open-source license on a public repository.
Anthology ID:
2022.sltat-1.11
Volume:
Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, John C. McDonald, Dimitar Shterionov, Rosalee Wolfe
Venue:
SLTAT
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
73–78
Language:
URL:
https://aclanthology.org/2022.sltat-1.11
DOI:
Bibkey:
Cite (ACL):
Fabrizio Nunnari. 2022. A Software Toolkit for Pre-processing Sign Language Video Streams. In Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives, pages 73–78, Marseille, France. European Language Resources Association.
Cite (Informal):
A Software Toolkit for Pre-processing Sign Language Video Streams (Nunnari, SLTAT 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.sltat-1.11.pdf
Code
 dfki-signlanguage/videoprocessingtools