S-pot - a benchmark in spotting signs within continuous signing

Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, Jorma Laaksonen


Abstract
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.
Anthology ID:
L14-1377
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1892–1897
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/440_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, and Jorma Laaksonen. 2014. S-pot - a benchmark in spotting signs within continuous signing. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1892–1897, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
S-pot - a benchmark in spotting signs within continuous signing (Viitaniemi et al., LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/440_Paper.pdf