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
- 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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/440_Paper.pdf