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  Automatic signer diarization - the mover is the signer approach

Gebre, B. G., Wittenburg, P., & Heskes, T. (2013). Automatic signer diarization - the mover is the signer approach. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on (pp. 283-287). doi:10.1109/CVPRW.2013.49.

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signer_diarization_published.pdf (Publisher version), 380KB
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 Creators:
Gebre, Binyam Gebrekidan1, Author           
Wittenburg, Peter1, Author           
Heskes, Tom2, Author
Affiliations:
1The Language Archive, MPI for Psycholinguistics, Max Planck Society, ou_530892              
2Institute for Computing and Information Sciences, Radboud University, ou_persistent22              

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Free keywords: signer diarization, speaker diarization
 Abstract: We present a vision-based method for signer diarization -- the task of automatically determining "who signed when?" in a video. This task has similar motivations and applications as speaker diarization but has received little attention in the literature. In this paper, we motivate the problem and propose a method for solving it. The method is based on the hypothesis that signers make more movements than their interlocutors. Experiments on four videos (a total of 1.4 hours and each consisting of two signers) show the applicability of the method. The best diarization error rate (DER) obtained is 0.16.

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Language(s): eng - English
 Dates: 201320132013
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1109/CVPRW.2013.49
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Title: CVPR 2013 workshop on language for vision
Place of Event: Portland, OR
Start-/End Date: 2013-06-23 - 2013-06-28

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Title: Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 283 - 287 Identifier: -