SLMotion – An extensible sign language oriented video analysis tool
Abstract
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.
Main Authors
Format
Conferences
Conference paper
Published
2014
Series
Subjects
Publication in research information system
Publisher
European Language Resources Association (LREC)
Original source
http://www.lrec-conf.org/proceedings/lrec2014/pdf/209_Paper.pdf
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201706052664Käytä tätä linkitykseen.
Parent publication ISBN
978-2-9517408-8-4
Review status
Peer reviewed
ISSN
2522-2686
Conference
International Conference on Language Resources and Evaluation
Language
English
Published in
LREC proceedings
Is part of publication
Proceedings of the 9th international conference on Language Resources and Evaluation (LREC 2014)
Citation
- Karppa, M., Viitaniemi, V., Luzardo, M., Laaksonen, J., & Jantunen, T. (2014). SLMotion – An extensible sign language oriented video analysis tool. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 9th international conference on Language Resources and Evaluation (LREC 2014) (pp. 1886-1891). European Language Resources Association (LREC). LREC proceedings. http://www.lrec-conf.org/proceedings/lrec2014/pdf/209_Paper.pdf
License
Funder(s)
Research Council of Finland
Funding program(s)
Akatemiatutkija, SA
Academy Research Fellow, AoF
Additional information about funding
This 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).
Copyright© 2014 The Authors. Licensed under a Creative Commons Attribution-NonCommercial License.