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        <title>A Software Toolkit for Pre-processing Sign Language Video Streams</title>
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        <namePart type="given">Fabrizio</namePart>
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            <title>Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives</title>
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        <name type="personal">
            <namePart type="given">Eleni</namePart>
            <namePart type="family">Efthimiou</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Stavroula-Evita</namePart>
            <namePart type="family">Fotinea</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Thomas</namePart>
            <namePart type="family">Hanke</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">John</namePart>
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            <namePart type="family">McDonald</namePart>
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        <name type="personal">
            <namePart type="given">Dimitar</namePart>
            <namePart type="family">Shterionov</namePart>
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        <name type="personal">
            <namePart type="given">Rosalee</namePart>
            <namePart type="family">Wolfe</namePart>
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            <publisher>European Language Resources Association</publisher>
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    <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.</abstract>
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        <date>2022-06</date>
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            <start>73</start>
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%0 Conference Proceedings
%T A Software Toolkit for Pre-processing Sign Language Video Streams
%A Nunnari, Fabrizio
%Y Efthimiou, Eleni
%Y Fotinea, Stavroula-Evita
%Y Hanke, Thomas
%Y McDonald, John C.
%Y Shterionov, Dimitar
%Y Wolfe, Rosalee
%S Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F nunnari-2022-software
%X 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.
%U https://aclanthology.org/2022.sltat-1.11
%P 73-78

Markdown (Informal)

[A Software Toolkit for Pre-processing Sign Language Video Streams](https://aclanthology.org/2022.sltat-1.11) (Nunnari, SLTAT 2022)

• A Software Toolkit for Pre-processing Sign Language Video Streams (Nunnari, SLTAT 2022)

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.