S-pot – a benchmark in spotting signs within continuous signing
Viitaniemi, V., Jantunen, T., Savolainen, L., Karppa, M., & Laaksonen, J. (2014). S-pot – a benchmark in spotting signs within continuous signing. 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. 1892-1897). European Language Resources Association (LREC). LREC proceedings. http://www.lrec-conf.org/proceedings/lrec2014/pdf/440_Paper.pdf
Published in
LREC proceedingsEditors
Date
2014Copyright
© the Authors & European Language Resources Association (LREC), 2014.
In this paper we present S-pot, a benchmark setting for evaluating the performance of automatic spotting of signs in continuous sign language videos. The benchmark includes 5539 video files of Finnish Sign Language, ground truth sign spotting results, a tool for assessing the spottings against the ground truth, and a repository for storing information on the results. In addition we will make our sign detection system and results made with it publicly available as a baseline for comparison and further developments.
Publisher
European Language Resources Association (LREC)Parent publication ISBN
978-2-9517408-8-4Conference
International Conference on Language Resources and EvaluationIs part of publication
Proceedings of the 9th international conference on Language Resources and Evaluation (LREC 2014)ISSN Search the Publication Forum
2522-2686Keywords
Original source
http://www.lrec-conf.org/proceedings/lrec2014/pdf/440_Paper.pdfPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/24486171
Metadata
Show full item recordCollections
Related funder(s)
Academy of FinlandFunding program(s)
Academy Research Fellow, AoFAdditional 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).Related items
Showing items with similar title or keywords.
-
SLMotion – An extensible sign language oriented video analysis tool
Karppa, Matti; Viitaniemi, Ville; Luzardo, Marcos; Laaksonen, Jorma; Jantunen, Tommi (European Language Resources Association (LREC), 2014)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 ... -
Agent defocusing in two-participant clauses in Finnish Sign Language
Nordlund, Sanna (Ubiquity Press Ltd., 2019)This article investigates what strategies are used for defocusing the agent in two-participant clauses in FinSL. The question is approached by analyzing a set of data that consists of videotaped informational texts. Several ... -
Cross-modal iconicity and indexicality in the production of lexical sensory and emotional signs in Finnish Sign Language
Keränen, Jarkko (Walter de Gruyter GmbH, 2023)In the present study, cross-modal (i.e., across sensory modalities such as smell and sound) iconicity (i.e., resemblance) and indexicality (i.e., contiguity) in lexical sensory and emotional signs in Finnish Sign Language ... -
AnatomySketch : An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development
Zhuang, Mingrui; Chen, Zhonghua; Wang, Hongkai; Tang, Hong; He, Jiang; Qin, Bobo; Yang, Yuxin; Jin, Xiaoxian; Yu, Mengzhu; Jin, Baitao; Li, Taijing; Kettunen, Lauri (Springer, 2022)The development of medical image analysis algorithm is a complex process including the multiple sub-steps of model training, data visualization, human–computer interaction and graphical user interface (GUI) construction. ... -
Utterance fluency in Finnish Sign Language L1 and L2 signing
Sipronen, Suvi; Kanto, Laura (Suomen kielitieteellinen yhdistys, 2021)This paper explores the fluency of first language (L1) and second language (L2) signers of Finnish Sign Language. The phenomenon was approached by measuring utterance fluency using speed and breakdown parameters. The ...