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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2022.sltat-1.11.pdf
- Code
- dfki-signlanguage/videoprocessingtools