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ICPR
2008
IEEE

Recovering audio-to-video synchronization by audiovisual correlation analysis

15 years 12 days ago
Recovering audio-to-video synchronization by audiovisual correlation analysis
Audio-to-video synchronization (AV-sync) may drift and is difficult to recover without dedicated human effort. In this work, we develop an interactive method to recover the drifted AV-sync by audiovisual correlation analysis. Given a video segment, a user specifies a rough time span during which a person is speaking. Our system first detects a speaker region using face detection. It then does a two-stage search to find the optimum AV-drift that can maximize the average audiovisual correlation inside the speaker region. The correlation is evaluated using quadratic mutual information with kernel density estimation. AV-sync is finally recovered by the detected optimum AV-drift. Experimental results demonstrate the effectiveness of our method.
Yoichi Sato, Yuyu Liu
Added 05 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Yoichi Sato, Yuyu Liu
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