Out-of-scene AV data detection

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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-ofscene 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. KEYWORDS Time-frequency analysis, pattern matching, confidence estimation.
Danil Korchagin
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Authors Danil Korchagin
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