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
Julkaistu sarjassa
LREC proceedingsToimittajat
Päivämäärä
2014Tekijänoikeudet
© 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.
Julkaisija
European Language Resources Association (LREC)Emojulkaisun ISBN
978-2-9517408-8-4Konferenssi
International Conference on Language Resources and EvaluationKuuluu julkaisuun
Proceedings of the 9th international conference on Language Resources and Evaluation (LREC 2014)ISSN Hae Julkaisufoorumista
2522-2686Asiasanat
Alkuperäislähde
http://www.lrec-conf.org/proceedings/lrec2014/pdf/440_Paper.pdfJulkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/24486171
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Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiatutkija, SALisätietoja rahoituksesta
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).Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
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