[ECCV'20] BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues [full]

ECCV 2020

[ECCV'20] BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues [full]

Aug 18, 2020
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This video presentation describes the paper: Samuel Albanie*, Gül Varol*, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox and Andrew Zisserman, "BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues", ECCV 2020. Summary: 1) We automatically annotate: - 1,000 hours of continuous sign language videos, - using visual keyword spotting, - for a vocabulary of 1,064 words. 2) We train a sign recognition spatio-temporal network using the automatic labels; 3) We test the network on manually verified signs. arxiv: https://arxiv.org/abs/2007.12131

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