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Audio Fingerprinting to Identify Multiple Videos of an Event

Cotton, Courtenay Valentine; Ellis, Daniel P. W.

The proliferation of consumer recording devices and video sharing websites makes the possibility of having access to multiple recordings of the same occurrence increasingly likely. These co-synchronous recordings can be identified via their audio tracks, despite local noise and channel variations. We explore a robust fingerprinting strategy to do this. Matching pursuit is used to obtain a sparse set of the most prominent elements in a video soundtrack. Pairs of these elements are hashed and stored, to be efficiently compared with one another. This fingerprinting is tested on a corpus of over 700 YouTube videos related to the 2009 U.S. presidential inauguration. Reliable matching of identical events in different recordings is demonstrated, even under difficult conditions.

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Title
2010 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings: March 14-19, 2010, Sheraton Dallas Hotel, Dallas, Texas, U.S.A.
Publisher
IEEE
DOI
https://doi.org/10.1109/ICASSP.2010.5496185

More About This Work

Academic Units
Electrical Engineering
Published Here
June 26, 2012