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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
An algorithm that minimizes audio fingerprints using the difference of Gaussians
Myoungbeom Chung, Ilju Ko
Department of Media, Soongsil University, Seoul 156-743, Korea
 全文: PDF(682 KB)  
摘要： 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)    
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 words: Audio retrieval    Audio fingerprint    Audio signal processing    Difference of Gaussians (DoG)
收稿日期: 2010-11-16 出版日期: 2011-10-08
CLC:  TN912.34  
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Myoungbeom Chung
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引用本文:

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.

链接本文:

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

[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.