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GBED: group based event detection method for audio sensor networks
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International Multimedia Conference archive
Proceedings of the seventeen ACM international conference on Multimedia table of contents
Beijing, China
SESSION: Short papers session 3: applications and systems table of contents
Pages 857-860  
Year of Publication: 2009
ISBN:978-1-60558-608-3
Authors
Qi Li  Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China
Huadong Ma  Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China
Sponsor
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

Audio event detection is one of the most important applications in the multimedia sensor networks. In this paper, we present a Group Based Event Detection method, called GBED, to detect the audio events in the audio sensor networks. In the proposed method, we train the basic audio events separately based on statistical learning, and combine them together by some prior knowledge in specific domains. By using GBED we can combine the statistical learning and human knowledge together and reduce the training complexity for complex real-world situations. We deploy this approach on an audio sensor network to evaluate its performance, and the experiment evaluations demonstrate that GBED can achieve satisfied results.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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