A novel representation of bioacoustic events for content-based search in field audio data
Dong, Xueyan, Towsey, Michael W., Zhang, Jinglan, Banks, Jasmine, & Roe, Paul (2013) A novel representation of bioacoustic events for content-based search in field audio data. In Proceedings of 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE Xplore, Wrest Point Hotel, Hobart, TAS, pp. 1-6.
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Bioacoustic data can provide an important base for environmental monitoring. To explore a large amount of field recordings collected, an automated similarity search algorithm is presented in this paper. A region of an audio defined by frequency and time bounds is provided by a user; the content of the region is used to construct a query. In the retrieving process, our algorithm will automatically scan through recordings to search for similar regions. In detail, we present a feature extraction approach based on the visual content of vocalisations – in this case ridges, and develop a generic regional representation of vocalisations for indexing. Our feature extraction method works best for bird vocalisations showing ridge characteristics. The regional representation method allows the content of an arbitrary region of a continuous recording to be described in a compressed format.
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|Item Type:||Conference Paper|
|Keywords:||acoustic event, feature extraction, ridge detection, regional representation, similarity search|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > Science Research Centre
|Copyright Owner:||Copyright 2013 IEEE|
|Copyright Statement:||Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.|
|Deposited On:||17 Oct 2013 23:50|
|Last Modified:||23 Jul 2014 10:45|
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