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Sequential pattern mining on multimedia data
Abstract : 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 symbol-ization is a critical step for extracting relevant audio patterns.
Cited literature [16 references]
https://hal.archives-ouvertes.fr/hal-01186446
Contributor : Guillaume Gravier Connect in order to contact the contributor
Submitted on : Monday, August 24, 2015 - 11:11:08 PM
Last modification on : Thursday, January 20, 2022 - 4:20:26 PM
Long-term archiving on: : Wednesday, November 25, 2015 - 7:14:49 PM
Contributor : Guillaume Gravier Connect in order to contact the contributor
Submitted on : Monday, August 24, 2015 - 11:11:08 PM
Last modification on : Thursday, January 20, 2022 - 4:20:26 PM
Long-term archiving on: : Wednesday, November 25, 2015 - 7:14:49 PM
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hardy_amsaleg et al.pdf
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