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Automatic propagation of manual annotations for multimodal person identification in TV shows
Abstract : In this paper an approach to human annotation propagation for person identification in the multimodal context is proposed. A system is used, which combines speaker diarization and face clustering to produce multimodal clusters. The whole multimodal clusters are later annotated rather than just single tracks, which is done by propagation. Optical character recogni- tion systems provides initial annotation. Four different strategies, which select candidates for annotation, are tested. The initial results of annotation propagation are promising. With the use of a proper active learning selection strategy the human annotator involvement could be reduced even further.
Cited literature [16 references]
https://hal.inria.fr/hal-01002927
Contributor : Laurent Besacier <>
Submitted on : Saturday, June 7, 2014 - 3:01:06 PM
Last modification on : Tuesday, November 24, 2020 - 4:20:03 PM
Long-term archiving on: : Sunday, September 7, 2014 - 10:46:25 AM
Contributor : Laurent Besacier <>
Submitted on : Saturday, June 7, 2014 - 3:01:06 PM
Last modification on : Tuesday, November 24, 2020 - 4:20:03 PM
Long-term archiving on: : Sunday, September 7, 2014 - 10:46:25 AM
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