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Synchronizing Multimodal Data Streams Acquired Using Commodity Hardware

Published

Author(s)

Martial Michel, Vincent M. Stanford

Abstract

We have developed tools and techniques that allow video frame level synchronization of multiple free-running commodity video cameras, microphones, and computer nodes using non-realtime operating systems. The techniques rely on physical audiovisual synchronization pulses, statistical procedures to correlate and interpolate the multiple timestamp streams, and software tools for review to produce smoothed and drift-corrected timestamp streams in our multimodal corpora. Our work is open source and we are seeking collaborative developers for future work.
Conference Title
VSSN 2006 (4th ACM International Wokshop on Video Surveillance & Sensor Networks)

Keywords

Automatic Meeting Recognition Project, Commodity Hardware, Smart Spaces, Synchronization

Citation

Michel, M. and Stanford, V. (2006), Synchronizing Multimodal Data Streams Acquired Using Commodity Hardware, VSSN 2006 (4th ACM International Wokshop on Video Surveillance & Sensor Networks), [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=50818 (Accessed December 26, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created November 27, 2006, Updated January 27, 2020