Summary of the paper
| Title | SLMotion - an Extensible Sign Language Oriented Video Analysis Tool |
|---|---|
| Authors | Matti Karppa, Ville Viitaniemi, Marcos Luzardo, Jorma Laaksonen and Tommi Jantunen |
| 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. |
| Topics | Statistical and Machine Learning Methods, Sign Language Recognition/Generation |
Full paper  |
SLMotion - an Extensible Sign Language Oriented Video Analysis Tool |
| Bibtex | @InProceedings{KARPPA14.209, author = {Matti Karppa and Ville Viitaniemi and Marcos Luzardo and Jorma Laaksonen and Tommi Jantunen}, title = {SLMotion - an Extensible Sign Language Oriented Video Analysis Tool}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |