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Content Provider | IEEE Xplore Digital Library |
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Author | Cotton, C.V. Ellis, D.P.W. |
Copyright Year | 2010 |
Description | Author affiliation: LabROSA, Dept. of Electrical Engineering, Columbia University, New York 10027 USA (Cotton, C.V.; Ellis, D.P.W.) |
Abstract | 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. |
Starting Page | 2386 |
Ending Page | 2389 |
File Size | 275050 |
Page Count | 4 |
File Format | |
ISBN | 9781424442959 |
ISSN | 15206149 |
DOI | 10.1109/ICASSP.2010.5496185 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-03-14 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fingerprint recognition Matching pursuit algorithms Audio recording Video recording Acoustic noise Iterative algorithms Video sharing Noise robustness Multimedia databases Cameras Database searching Acoustic signal analysis |
Content Type | Text |
Resource Type | Article |
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