Content fingerprinting using wavelets
Content fingerprinting using wavelets
- Author(s): Shumeet Baluja and M. Covell
- DOI: 10.1049/cp:20061964
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- Author(s): Shumeet Baluja and M. Covell Source: 3rd European Conference on Visual Media Production (CVMP 2006). Part of the 2nd Multimedia Conference 2006, 2006 p. 198 – 207
- Conference: 3rd European Conference on Visual Media Production (CVMP 2006). Part of the 2nd Multimedia Conference 2006
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- DOI: 10.1049/cp:20061964
- ISBN: 0 86341 729 9
- Location: London, UK
- Conference date: 29-30 Nov. 2006
- Format: PDF
In this paper, we introduce Waveprint, a novel method for audio identification. Waveprint uses a combination of computer-vision techniques and large-scale-data-stream processing algorithms to create compact fingerprints of audio data that can be efficiently matched. The resulting system has excellent identification capabilities for small snippets of audio that have been degraded in a variety of manners, including competing noise, poor recording quality, and cell-phone playback. We explicitly measure the tradeoffs between performance, memory usage, and computation through extensive experimentation.
Inspec keywords: audio signal processing; very large databases; image matching; image retrieval; computer vision; audio databases; wavelet transforms; fingerprint identification
Subjects: Other DBMS; Speech and audio signal processing; Information retrieval techniques; Integral transforms; Image recognition; Computer vision and image processing techniques; Integral transforms
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