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2010
IEEE

On-the-fly video genre classification by combination of audio features

11 years 3 months ago
On-the-fly video genre classification by combination of audio features
Video genre identification methods are frequently based on image or motion analysis, which are relatively timeconsuming processes. Since such approaches are tractable by batch processing, as-soon-as-possible identification requires faster methods. In this paper, we investigate the use of audio-only methods for on-the-fly video classification. We propose to use several acoustic feature streams and we evaluate various combination schemes at the frame or at the score level. Results are compared to those obtained by humans, according to the listening duration. Although the system based on model combination slightly outperforms the humans on very soon detection. The latter remain significantly more accurate on long sessions.
Mickael Rouvier, Georges Linares, Driss Matrouf
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where ICASSP
Authors Mickael Rouvier, Georges Linares, Driss Matrouf
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