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Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (3): 151-159    DOI: 10.1631/jzus.C0910472
    
Identical-video retrieval using the low-peak feature of a video’s audio information
Myoung-beom CHUNG, Il-ju KO
Department of Media, Soongsil University, Seoul 156-743, Korea
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Abstract  The recognition and retrieval of identical videos by combing through entire video files requires a great deal of time and memory space. Therefore, most current video-matching methods analyze only a part of each video’s image frame information. All these methods, however, share the critical problem of erroneously categorizing identical videos as different if they have merely been altered in resolution or converted with a different codec. This paper deals instead with an identical-video-retrieval method using the low-peak feature of audio data. The low-peak feature remains relatively stable even with changes in bit-rate or codec. The proposed method showed a search success rate of 93.7% in a video matching experiment. This approach could provide a technique for recognizing identical content on video file share sites.

Key words： Video retrieval      Video DNA      Audio signal processing      Audio feature extraction     
Received: 31 July 2009      Published: 01 March 2010
CLC:  TN912.34  
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Myoung-beom CHUNG, Il-ju KO. Identical-video retrieval using the low-peak feature of a video’s audio information. Front. Inform. Technol. Electron. Eng., 2010, 11(3): 151-159.

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http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C0910472     OR     http://www.zjujournals.com/xueshu/fitee/Y2010/V11/I3/151


Identical-video retrieval using the low-peak feature of a video’s audio information

The recognition and retrieval of identical videos by combing through entire video files requires a great deal of time and memory space. Therefore, most current video-matching methods analyze only a part of each video’s image frame information. All these methods, however, share the critical problem of erroneously categorizing identical videos as different if they have merely been altered in resolution or converted with a different codec. This paper deals instead with an identical-video-retrieval method using the low-peak feature of audio data. The low-peak feature remains relatively stable even with changes in bit-rate or codec. The proposed method showed a search success rate of 93.7% in a video matching experiment. This approach could provide a technique for recognizing identical content on video file share sites.

关键词： Video retrieval,  Video DNA,  Audio signal processing,  Audio feature extraction 
[1] Myoungbeom Chung, Ilju Ko. An algorithm that minimizes audio fingerprints using the difference of Gaussians[J]. Front. Inform. Technol. Electron. Eng., 2011, 12(10): 836-845.