MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval
MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval
Technical perspective: the data center is the computer
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Complex real-time environmental monitoring of the Hudson river and estuary system
IBM Journal of Research and Development
Parallel bulk insertion for large-scale analytics applications
Proceedings of the 4th International Workshop on Large Scale Distributed Systems and Middleware
Audio classification based on MPEG-7 spectral basis representations
IEEE Transactions on Circuits and Systems for Video Technology
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We describe a distributed, real-time system for the collection and analysis of underwater acoustic data. The system uses a number of preprocessing steps to classify and detect acoustic events and to identify and compensate for gaps in the data stream. Different event-detection techniques are applied in a distributed manner on the incoming data stream from each sensor to aid in the indexing and storage of the data. Other event-detection techniques process multiple simultaneous streams to identify and classify events of interest. Building upon the deployed system, a stream analytical platform provides data handling, preprocessing, and analytics in real time. These analytics identify and classify anthropogenic, environmental, and animal noise (a significant amount of which occurs outside the audible range of human hearing) and ascertain the direction of the noise source.