Latest News and Events

The SAMSI-FODAVA Workshop on Interactive Visualization and Analysis of Massive Data will be held on December 10-12, 2012.
Posted: October 02, 2012
The FODAVA Annual Meeting will immediately follow (Dec 12-13) the SAMSI/FODAVA joint workshop at the same location.
Posted: September 05, 2012
Many of the modern data sets such as text and image data can be represented in high-dimensional vector spaces and have benefited from computational methods that utilize advanced techniques from num
Posted: June 30, 2012

Visualizing Audio for Anomaly Detection

Speaker: 
Mark Hasegawa-Johnson, Thomas Huang, Hank Kaczmarski, Camille Goudeseune
Abstract: 

Rendering a large audio recording as an interactive visualizations
lets an analyst uncover important anomalies therein,
thousands of times faster than listening in "real time."
To guide the analyst away from uninteresting data, we will
display both audio-derived and hypothesis-based features
of the raw acoustic signal. The analyst can then zoom continuously,
either in time or in time and geographical space, into interesting
areas for deeper investigation. These derived features generalize
from audio to other time series, either standalone or geotagged.