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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
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
 全文: PDF(575 KB)  
摘要: 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 retrievalVideo DNAAudio signal processingAudio feature extraction    
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
收稿日期: 2009-07-31 出版日期: 2010-03-01
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/CN/10.1631/jzus.C0910472        http://www.zjujournals.com/xueshu/fitee/CN/Y2010/V11/I3/151

[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.