SLMotion – An extensible sign language oriented video analysis tool
Karppa, Matti; Viitaniemi, Ville; Luzardo, Marcos; Laaksonen, Jorma; Jantunen, Tommi (2014). SLMotion – An extensible sign language oriented video analysis tool. In Calzolari, Nicoletta; Choukri, Khalid; Declerck, Thierry; Loftsson, Hrafn; Maegaard, Bente; Mariani, Joseph; Moreno, Asuncion; Odijk, Jan; Piperidis, Stelios (Eds.) Proceedings of the 9th international conference on Language Resources and Evaluation (LREC 2014) (pp. 1886-1891). LREC proceedings. European Language Resources Association (LREC). http://www.lrec-conf.org/proceedings/lrec2014/pdf/209_Paper.pdf
Published inLREC proceedings
© 2014 The Authors. Licensed under a Creative Commons Attribution-NonCommercial License.
We present a software toolkit called SLMotion which provides a framework for automatic and semiautomatic analysis, feature extraction and annotation of individual sign language videos, and which can easily be adapted to batch processing of entire sign language corpora. The program follows a modular design, and exposes a Numpy-compatible Python application programming interface that makes it easy and convenient to extend its functionality through scripting. The program includes support for exporting the annotations in ELAN format. The program is released as free software, and is available for GNU/Linux and MacOS platforms.
PublisherEuropean Language Resources Association (LREC)
Parent publication ISBN978-2-9517408-8-4
ConferenceInternational Conference on Language Resources and Evaluation
Is part of publicationProceedings of the 9th international conference on Language Resources and Evaluation (LREC 2014)
Publication in research information system
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Related funder(s)Academy of Finland
Funding program(s)Research post as Academy Research Fellow, AoF
Additional information about fundingThis work has been funded by the following grants of the Academy of Finland: 140245, Content-based video analysis and annotation of Finnish Sign Language (CoBaSiL), 251170, Finnish Centre of Excellence in Computational Inference Research (COIN), 34433, Signs, Syllables, and Sentences (3BatS), and 269089, The aspects of the Grammar and Prosody of FinSL (ProGram).
Except where otherwise noted, this item's license is described as © 2014 The Authors. Licensed under a Creative Commons Attribution-NonCommercial License.
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