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Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (10): 836-845    DOI: 10.1631/jzus.C1000396
    
An algorithm that minimizes audio fingerprints using the difference of Gaussians
Myoungbeom Chung, Ilju Ko
Department of Media, Soongsil University, Seoul 156-743, Korea
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Abstract  Recently, many audio search sites headed by Google have used audio fingerprinting technology to search for the same audio and protect the music copyright using one part of the audio data. However, if there are fingerprints per audio file, then the amount of query data for the audio search increases. In this paper, we propose a novel method that can reduce the number of fingerprints while providing a level of performance similar to that of existing methods. The proposed method uses the difference of Gaussians which is often used in feature extraction during image signal processing. In the experiment, we use the proposed method and dynamic time warping and undertake an experimental search for the same audio with a success rate of 90%. The proposed method, therefore, can be used for an effective audio search.

Key wordsAudio retrieval      Audio fingerprint      Audio signal processing      Difference of Gaussians (DoG)     
Received: 16 November 2010      Published: 08 October 2011
CLC:  TN912.34  
Cite this article:

Myoungbeom Chung, Ilju Ko. An algorithm that minimizes audio fingerprints using the difference of Gaussians. Front. Inform. Technol. Electron. Eng., 2011, 12(10): 836-845.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C1000396     OR     http://www.zjujournals.com/xueshu/fitee/Y2011/V12/I10/836


An algorithm that minimizes audio fingerprints using the difference of Gaussians

Recently, many audio search sites headed by Google have used audio fingerprinting technology to search for the same audio and protect the music copyright using one part of the audio data. However, if there are fingerprints per audio file, then the amount of query data for the audio search increases. In this paper, we propose a novel method that can reduce the number of fingerprints while providing a level of performance similar to that of existing methods. The proposed method uses the difference of Gaussians which is often used in feature extraction during image signal processing. In the experiment, we use the proposed method and dynamic time warping and undertake an experimental search for the same audio with a success rate of 90%. The proposed method, therefore, can be used for an effective audio search.

关键词: Audio retrieval,  Audio fingerprint,  Audio signal processing,  Difference of Gaussians (DoG) 
[1] Myoung-beom CHUNG, Il-ju KO. Identical-video retrieval using the low-peak feature of a video’s audio information[J]. Front. Inform. Technol. Electron. Eng., 2010, 11(3): 151-159.