A software toolkit for pre-processing sign language video streams

Fabrizio Nunnari

In: 7th Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual & the Textual Challenges and Perspectives (SLTAT 7) - Proceedings. International Workshop on Sign Language Translation and Avatar Technology (SLTAT) June 24-24 Marseille France Seiten 73-78 ISBN 979-10-95546-82-5 ELRA 2022.


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.


Nunnari2022SLTAT_VideoProcToolkit.pdf (pdf, 1 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence