Out-of-Scene AV Data Detection

In this paper, we propose a new approach for the automatic audio-based out-of-scene detection of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is clustered to out-of-scene and in-scene datasets based on confidence estimation of cepstral pattern matching with a common master track of the event, recorded by a reference camera. The core of the algorithm is based on perceptual time-frequency analysis and confidence measure based on distance distribution variance. The results show correct clustering in 100% of cases for a real life dataset and surpass the performance of cross correlation while keeping lower system requirements.


Year:
2009
Publisher:
P.O. Box 592, CH-1920 Martigny, Switzerland, Idiap
Keywords:
Laboratories:




 Record created 2010-02-11, last modified 2018-03-17

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