2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDIVMSP-23.1
Paper Title SIGN LANGUAGE SEGMENTATION WITH TEMPORAL CONVOLUTIONAL NETWORKS
Authors Katrin Renz, Nicolaj Stache, University of Heilbronn, Germany; Samuel Albanie, University of Oxford, United Kingdom; Gül Varol, Ecole des Ponts, France
SessionIVMSP-23: Applications 1
LocationGather.Town
Session Time:Thursday, 10 June, 15:30 - 16:15
Presentation Time:Thursday, 10 June, 15:30 - 16:15
Presentation Poster
Topic Image, Video, and Multidimensional Signal Processing: [IVARS] Image & Video Analysis, Synthesis, and Retrieval
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract The objective of this work is to determine the location of temporal boundaries between signs in continuous sign language. Our approach marries 3D convolutional neural network representations with iterative temporal segment refinement to resolve ambiguities between boundary cues. We demonstrate the effectiveness of our approach for on the BSLCorpus, Phoenix2014 and BSL-1K datasets, showing considerable improvement over the prior state of the art and the ability to generalise to new signers, languages and domains.