Audio-visual synchronization recovery in multimedia content

This paper proposes a method recovering audio-visual synchronization of multimedia content. It exploits the correlation between the acoustic and the visual signals in order to estimate the audio-visual drift existing in the content. By shifting the audio signal relative to the visual signal, the estimation of the drift is obtained by searching for the shift producing the maximal audio-visual correlation. We consider two correlation measures, namely, mutual information and canonical correlation, and compare their performance. Experimental results demonstrate that the method using the canonical correlation is effective in recovering the audio-visual synchronization for both speech and non-speech sequences.


Published in:
Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2280-2283
Presented at:
International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011
Year:
2011
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
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 Record created 2011-01-18, last modified 2018-01-28

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