Sequential Pattern Mining on Multimedia Data

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Analyzing multimedia data is a challenging problem due to the quantity and complexity of such data. Mining for frequently recurring patterns is a task often ran to help discovering the underlying structure hidden in the data. In this article, we propose audio data symbolization and sequential pattern mining methods to extract patterns from audio streams. Experiments show that this task is hard and that the symbolization is a critical step for extracting relevant audio patterns.

Corentin Hardy, Laurent Amsaleg, Guillaume Gravier

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Data Mining | PKDD 2015 |

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Added	16 Apr 2016
Updated	16 Apr 2016
Type	Journal
Year	2015
Where	PKDD
Authors	Corentin Hardy, Laurent Amsaleg, Guillaume Gravier, Simon Malinowski, René Quiniou

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Sequential Pattern Mining on Multimedia Data

Data Mining | PKDD 2015 |

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