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Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition

10 years 2 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Based on head and hand tracking, a novel temporally constrained adaptation of apriori mining is used to extract similar regions of video, with the aid of a proposed contextual negative selection method. These regions are refined in the temporal domain to isolate the occurrences of similar signs in each example. The system is shown to automatically identify and segment signs from standard news broadcasts containing a variety of topics.
Helen Cooper, Richard Bowden
Added 30 Jun 2009
Updated 28 Feb 2010
Type Conference
Year 2009
Where CVPR
Authors Helen Cooper, Richard Bowden
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