MAAI: Media analytics for actionable intelligence
Upendra V. Chaudhari, Sarah Conrod, Alexander Faisman, Giridharan Iyengar, Dimitri Kanevsky, Mark Kogan, Ganesh N. Ramaswamy, Paola Virga · IEEE International Conference on Acoustics Speech and Signal Processing · 2008
Government agencies, corporations, and police departments are plagued by information overload. The inability of fully analyze fragments of data scattered across the organizations reduces productivity, and more and more of these fragments are being gathered every day thanks to tools like the Internet and digital audio/video recorders. However, since much of this information is stored in computer systems and networks, it is possible to develop tools that will automatically analyze, assemble and associate the fragments so that precious human resources can focus on the analysis and interpretation of just those fragments that may contain valuable insight. Media analytics for actionable intelligence (MAAI) is a combination of automatic, semi-automatic and manual tools which provide three basic levels of analysis: automatic services, manual feedback, and higher level mining (e.g. timeline, social network, hypothesis generation) which allow investigators/analysts to act more efficiently and accurately.