Synchronizing Multimodal Data Streams Acquired Using Commodity Hardware
Martial Michel, Vincent M. Stanford
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.
VSSN 2006 (4th ACM International Wokshop on Video Surveillance & Sensor Networks)
and Stanford, V.
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 June 4, 2023)